{"id":"https://openalex.org/W4292260081","doi":"https://doi.org/10.3390/s22166163","title":"A Fast Weighted Fuzzy C-Medoids Clustering for Time Series Data Based on P-Splines","display_name":"A Fast Weighted Fuzzy C-Medoids Clustering for Time Series Data Based on P-Splines","publication_year":2022,"publication_date":"2022-08-17","ids":{"openalex":"https://openalex.org/W4292260081","doi":"https://doi.org/10.3390/s22166163","pmid":"https://pubmed.ncbi.nlm.nih.gov/36015930"},"language":"en","primary_location":{"id":"doi:10.3390/s22166163","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22166163","pdf_url":"https://www.mdpi.com/1424-8220/22/16/6163/pdf?version=1660741979","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/16/6163/pdf?version=1660741979","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014961410","display_name":"Jiucheng Xu","orcid":"https://orcid.org/0000-0003-1518-3623"},"institutions":[{"id":"https://openalex.org/I4210165883","display_name":"Xinxiang University","ror":"https://ror.org/05qvskn85","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165883"]},{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiucheng Xu","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","Engineering Lab of Intelligence Business & Internet of Things, Xinxiang 453007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","institution_ids":["https://openalex.org/I75955062"]},{"raw_affiliation_string":"Engineering Lab of Intelligence Business & Internet of Things, Xinxiang 453007, China","institution_ids":["https://openalex.org/I4210165883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083418047","display_name":"Qinchen Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165883","display_name":"Xinxiang University","ror":"https://ror.org/05qvskn85","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165883"]},{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinchen Hou","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","Engineering Lab of Intelligence Business & Internet of Things, Xinxiang 453007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","institution_ids":["https://openalex.org/I75955062"]},{"raw_affiliation_string":"Engineering Lab of Intelligence Business & Internet of Things, Xinxiang 453007, China","institution_ids":["https://openalex.org/I4210165883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013817333","display_name":"Kanglin Qu","orcid":"https://orcid.org/0000-0002-5062-5012"},"institutions":[{"id":"https://openalex.org/I4210165883","display_name":"Xinxiang University","ror":"https://ror.org/05qvskn85","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165883"]},{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kanglin Qu","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","Engineering Lab of Intelligence Business & Internet of Things, Xinxiang 453007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","institution_ids":["https://openalex.org/I75955062"]},{"raw_affiliation_string":"Engineering Lab of Intelligence Business & Internet of Things, Xinxiang 453007, China","institution_ids":["https://openalex.org/I4210165883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069404797","display_name":"Yuanhao Sun","orcid":"https://orcid.org/0000-0001-9080-5715"},"institutions":[{"id":"https://openalex.org/I4210165883","display_name":"Xinxiang University","ror":"https://ror.org/05qvskn85","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165883"]},{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhao Sun","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","Engineering Lab of Intelligence Business & Internet of Things, Xinxiang 453007, China"],"raw_orcid":"https://orcid.org/0000-0001-9080-5715","affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","institution_ids":["https://openalex.org/I75955062"]},{"raw_affiliation_string":"Engineering Lab of Intelligence Business & Internet of Things, Xinxiang 453007, China","institution_ids":["https://openalex.org/I4210165883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088990227","display_name":"Xiangru Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165883","display_name":"Xinxiang University","ror":"https://ror.org/05qvskn85","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165883"]},{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangru Meng","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","Engineering Lab of Intelligence Business & Internet of Things, Xinxiang 453007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","institution_ids":["https://openalex.org/I75955062"]},{"raw_affiliation_string":"Engineering Lab of Intelligence Business & Internet of Things, Xinxiang 453007, China","institution_ids":["https://openalex.org/I4210165883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014961410"],"corresponding_institution_ids":["https://openalex.org/I4210165883","https://openalex.org/I75955062"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.5952,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64258301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"22","issue":"16","first_page":"6163","last_page":"6163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9555000066757202,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8015856742858887},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.7183250784873962},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6990772485733032},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6351808905601501},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.6339738368988037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5788236856460571},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5628761053085327},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.519800066947937},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5195360779762268},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4921252131462097},{"id":"https://openalex.org/keywords/rand-index","display_name":"Rand index","score":0.44871312379837036},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.4423428773880005},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41900983452796936},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.41286253929138184},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.41090285778045654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4022738039493561},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3447553515434265}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8015856742858887},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.7183250784873962},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6990772485733032},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6351808905601501},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.6339738368988037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5788236856460571},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5628761053085327},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.519800066947937},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5195360779762268},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4921252131462097},{"id":"https://openalex.org/C111442797","wikidata":"https://www.wikidata.org/wiki/Q7291446","display_name":"Rand index","level":3,"score":0.44871312379837036},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4423428773880005},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41900983452796936},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.41286253929138184},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.41090285778045654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4022738039493561},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3447553515434265},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22166163","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22166163","pdf_url":"https://www.mdpi.com/1424-8220/22/16/6163/pdf?version=1660741979","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36015930","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36015930","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:3a070357acc94ee8a92f79cffe22c4ba","is_oa":true,"landing_page_url":"https://doaj.org/article/3a070357acc94ee8a92f79cffe22c4ba","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 16, p 6163 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/16/6163/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22166163","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 16; Pages: 6163","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9414275","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9414275","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22166163","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22166163","pdf_url":"https://www.mdpi.com/1424-8220/22/16/6163/pdf?version=1660741979","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2654513071","display_name":null,"funder_award_id":"62076089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6290970086","display_name":null,"funder_award_id":"62002103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6442918189","display_name":null,"funder_award_id":"61976082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292260081.pdf","grobid_xml":"https://content.openalex.org/works/W4292260081.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W64694745","https://openalex.org/W1894414046","https://openalex.org/W1990420052","https://openalex.org/W1995450389","https://openalex.org/W2006255103","https://openalex.org/W2030644393","https://openalex.org/W2064395451","https://openalex.org/W2073243777","https://openalex.org/W2073587703","https://openalex.org/W2080761477","https://openalex.org/W2084616221","https://openalex.org/W2091091431","https://openalex.org/W2095899738","https://openalex.org/W2097747115","https://openalex.org/W2102201884","https://openalex.org/W2106595237","https://openalex.org/W2143325592","https://openalex.org/W2150097763","https://openalex.org/W2239813812","https://openalex.org/W2319744161","https://openalex.org/W2584499795","https://openalex.org/W2804412910","https://openalex.org/W2959374936","https://openalex.org/W2963405869","https://openalex.org/W2969974905","https://openalex.org/W3037129312","https://openalex.org/W3080412949","https://openalex.org/W3108047768","https://openalex.org/W3123810286","https://openalex.org/W3134728403","https://openalex.org/W3135013162","https://openalex.org/W3161184395","https://openalex.org/W3174271561","https://openalex.org/W3175302186","https://openalex.org/W3176966546","https://openalex.org/W3184988900","https://openalex.org/W4220715407","https://openalex.org/W4220896463","https://openalex.org/W4229454371","https://openalex.org/W4234158367","https://openalex.org/W6734312481","https://openalex.org/W6766893349","https://openalex.org/W6798852550"],"related_works":["https://openalex.org/W3168768270","https://openalex.org/W2393816671","https://openalex.org/W2025839902","https://openalex.org/W3176177124","https://openalex.org/W2389934482","https://openalex.org/W2607902515","https://openalex.org/W4310575853","https://openalex.org/W1491908038","https://openalex.org/W2564491406","https://openalex.org/W3046546608"],"abstract_inverted_index":{"The":[0,201],"rapid":[1],"growth":[2],"of":[3,10,96,125,140,149,188,197,218],"digital":[4],"information":[5,44],"has":[6],"produced":[7],"massive":[8],"amounts":[9],"time":[11,19,62,83,162,181,198],"series":[12,20,63,84,163,182,199],"data":[13,21,78,90,107,212],"on":[14,56,194],"rich":[15],"features":[16],"and":[17,24,86,165,185,214],"most":[18],"are":[22,223],"noisy":[23],"contain":[25],"some":[26],"outlier":[27,126],"samples,":[28],"which":[29],"leads":[30],"to":[31,74,80,100,104,120,136,157,167],"a":[32,48,116],"decline":[33],"in":[34,65,129],"the":[35,41,46,69,76,81,87,94,97,102,106,110,123,130,138,146,159,170,186,189,215],"clustering":[36,53,98,111,134,171,183,220],"effect.":[37],"To":[38],"efficiently":[39],"discover":[40],"hidden":[42],"statistical":[43],"about":[45],"data,":[47,85],"fast":[49],"weighted":[50,118,131],"fuzzy":[51,132],"C-medoids":[52,133],"algorithm":[54,99,151,175,190],"based":[55],"P-splines":[57],"(PS-WFCMdd)":[58],"is":[59,72,91,176,191],"proposed":[60],"for":[61,152],"datasets":[64],"this":[66],"study.":[67],"Specifically,":[68],"P-spline":[70],"method":[71,119,208],"used":[73,92],"fit":[75],"functional":[77],"related":[79],"original":[82],"obtained":[88],"smooth-fitting":[89],"as":[93],"input":[95],"enhance":[101],"ability":[103],"process":[105],"set":[108],"during":[109],"process.":[112],"Then,":[113],"we":[114],"define":[115],"new":[117,174,207],"further":[121,168],"avoid":[122],"influence":[124],"sample":[127],"points":[128],"process,":[135],"improve":[137,169],"robustness":[139],"our":[141,206],"algorithm.":[142],"We":[143],"propose":[144],"using":[145],"third":[147],"version":[148],"mueen's":[150],"similarity":[153,160],"search":[154],"(MASS":[155],"3)":[156],"measure":[158],"between":[161],"quickly":[164],"accurately,":[166],"efficiency.":[172],"Our":[173],"compared":[177],"with":[178],"several":[179],"other":[180],"algorithms,":[184],"performance":[187,217],"evaluated":[192],"experimentally":[193],"different":[195],"types":[196],"examples.":[200],"experimental":[202],"results":[203],"show":[204],"that":[205],"can":[209],"speed":[210],"up":[211],"processing":[213],"comprehensive":[216],"each":[219],"evaluation":[221],"index":[222],"relatively":[224],"good.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}