{"id":"https://openalex.org/W2587977506","doi":"https://doi.org/10.1007/s13042-016-0628-6","title":"Combined constraint-based with metric-based in semi-supervised clustering ensemble","display_name":"Combined constraint-based with metric-based in semi-supervised clustering ensemble","publication_year":2017,"publication_date":"2017-02-17","ids":{"openalex":"https://openalex.org/W2587977506","doi":"https://doi.org/10.1007/s13042-016-0628-6","mag":"2587977506"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-016-0628-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-016-0628-6","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112113410","display_name":"Siting Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siting Wei","raw_affiliation_strings":["College of Computer Science and Information Technology, Guangxi Normal University, Guilin, 541004, China","Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Information Technology, Guangxi Normal University, Guilin, 541004, China","institution_ids":["https://openalex.org/I29739308"]},{"raw_affiliation_string":"Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, 541004, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701695","display_name":"Zhixin Li","orcid":"https://orcid.org/0000-0002-5313-6134"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhixin Li","raw_affiliation_strings":["College of Computer Science and Information Technology, Guangxi Normal University, Guilin, 541004, China","Guangxi Experiment Center of Information Science, Guilin, 541004, China","Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Information Technology, Guangxi Normal University, Guilin, 541004, China","institution_ids":["https://openalex.org/I29739308"]},{"raw_affiliation_string":"Guangxi Experiment Center of Information Science, Guilin, 541004, China","institution_ids":[]},{"raw_affiliation_string":"Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, 541004, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016469515","display_name":"Canlong Zhang","orcid":"https://orcid.org/0000-0003-4375-1405"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Canlong Zhang","raw_affiliation_strings":["College of Computer Science and Information Technology, Guangxi Normal University, Guilin, 541004, China","Guangxi Experiment Center of Information Science, Guilin, 541004, China","Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Information Technology, Guangxi Normal University, Guilin, 541004, China","institution_ids":["https://openalex.org/I29739308"]},{"raw_affiliation_string":"Guangxi Experiment Center of Information Science, Guilin, 541004, China","institution_ids":[]},{"raw_affiliation_string":"Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, 541004, China","institution_ids":["https://openalex.org/I29739308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100701695"],"corresponding_institution_ids":["https://openalex.org/I29739308"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":null,"fwci":0.9236,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.83470306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9","issue":"7","first_page":"1085","last_page":"1100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9973000288009644,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8564414978027344},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.7036678194999695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6636753082275391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6026730537414551},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.5966776013374329},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.568760871887207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5472060441970825},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.5290193557739258},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.5141890048980713},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5118457674980164},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.510441243648529},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5021841526031494},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.4689822793006897},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.45701175928115845},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.44348084926605225},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.42144834995269775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40416842699050903}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8564414978027344},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.7036678194999695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6636753082275391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6026730537414551},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.5966776013374329},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.568760871887207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5472060441970825},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.5290193557739258},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.5141890048980713},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5118457674980164},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.510441243648529},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5021841526031494},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.4689822793006897},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.45701175928115845},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.44348084926605225},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.42144834995269775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40416842699050903},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13042-016-0628-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-016-0628-6","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3215737646","display_name":null,"funder_award_id":"Nos. 61165009, 61663004, 61262005, 61363035, 61365009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W135097650","https://openalex.org/W1551177280","https://openalex.org/W1572186587","https://openalex.org/W1580837119","https://openalex.org/W1596981350","https://openalex.org/W1965450189","https://openalex.org/W1966162499","https://openalex.org/W1968970305","https://openalex.org/W1987613674","https://openalex.org/W1987839426","https://openalex.org/W1993023793","https://openalex.org/W2031805499","https://openalex.org/W2039786238","https://openalex.org/W2056515624","https://openalex.org/W2056766567","https://openalex.org/W2060484766","https://openalex.org/W2066639679","https://openalex.org/W2081758251","https://openalex.org/W2084719208","https://openalex.org/W2085335612","https://openalex.org/W2096100960","https://openalex.org/W2097323414","https://openalex.org/W2098029000","https://openalex.org/W2106053110","https://openalex.org/W2110158442","https://openalex.org/W2112322039","https://openalex.org/W2119823327","https://openalex.org/W2122491887","https://openalex.org/W2132347401","https://openalex.org/W2137276306","https://openalex.org/W2153241548","https://openalex.org/W2161498107","https://openalex.org/W2169495281","https://openalex.org/W2169673712","https://openalex.org/W2203022174","https://openalex.org/W2262682506","https://openalex.org/W2294414050","https://openalex.org/W3120740533","https://openalex.org/W4235759361","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1481928625","https://openalex.org/W2199594781","https://openalex.org/W2188840951","https://openalex.org/W2125070513","https://openalex.org/W2519062763","https://openalex.org/W2187382873","https://openalex.org/W1577058187","https://openalex.org/W2533990316","https://openalex.org/W2551136488","https://openalex.org/W2965089876"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":8},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
