{"id":"https://openalex.org/W7119080282","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11309358","title":"An Improved Fuzzy C-Means Algorithm for Clustering of Wireless Channel Multipath Components","display_name":"An Improved Fuzzy C-Means Algorithm for Clustering of Wireless Channel Multipath Components","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7119080282","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11309358"},"language":null,"primary_location":{"id":"doi:10.1109/vtc2025-fall65116.2025.11309358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11309358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","raw_type":"proceedings-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/A5030671553","display_name":"Fan Xu","orcid":"https://orcid.org/0000-0002-1504-2356"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Xu","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory, School of Information Science and Engineering,Nanjing,China,211189"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory, School of Information Science and Engineering,Nanjing,China,211189","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035375010","display_name":"Lijian Xin","orcid":"https://orcid.org/0000-0002-9618-3299"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijian Xin","raw_affiliation_strings":["Purple Mountain Laboratories,Nanjing,China,211111"],"affiliations":[{"raw_affiliation_string":"Purple Mountain Laboratories,Nanjing,China,211111","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070018573","display_name":"Jie Huang","orcid":"https://orcid.org/0000-0002-1908-6129"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Huang","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory, School of Information Science and Engineering,Nanjing,China,211189"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory, School of Information Science and Engineering,Nanjing,China,211189","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121057994","display_name":"Cheng-Xiang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng-Xiang Wang","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory, School of Information Science and Engineering,Nanjing,China,211189"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory, School of Information Science and Engineering,Nanjing,China,211189","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030671553"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.82451072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.6542999744415283,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.6542999744415283,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.06800000369548798,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.025800000876188278,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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":0.7656000256538391},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5684999823570251},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5605999827384949},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5430999994277954},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.5187000036239624},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.4702000021934509},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.46230000257492065},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4113999903202057}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7656000256538391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6549999713897705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6137999892234802},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5684999823570251},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5605999827384949},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5430999994277954},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.5187000036239624},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4779999852180481},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.4702000021934509},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.46230000257492065},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4113999903202057},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.39559999108314514},{"id":"https://openalex.org/C65932786","wikidata":"https://www.wikidata.org/wiki/Q3191282","display_name":"k-medoids","level":5,"score":0.36480000615119934},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.29120001196861267},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.2872999906539917},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.28060001134872437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27959999442100525},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.27090001106262207},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.26499998569488525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2599000036716461},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.257099986076355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2025-fall65116.2025.11309358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11309358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1987801991","https://openalex.org/W2029064186","https://openalex.org/W2108146423","https://openalex.org/W2116339520","https://openalex.org/W2125836384","https://openalex.org/W2140089063","https://openalex.org/W2153233077","https://openalex.org/W2409028535","https://openalex.org/W2748760676","https://openalex.org/W2911008619","https://openalex.org/W2980740884","https://openalex.org/W3093929720","https://openalex.org/W4282032534","https://openalex.org/W4322576964","https://openalex.org/W4360898076","https://openalex.org/W4386025761","https://openalex.org/W4405022479"],"related_works":[],"abstract_inverted_index":{"Partition-based":[0],"clustering":[1,45,88],"algorithms":[2],"like":[3],"K-Means,":[4],"KPowerMeans":[5],"(KPM)":[6],"and":[7,33,38,69],"fuzzy":[8,40],"c-means":[9,41],"(FCM)":[10],"have":[11],"drawbacks":[12],"for":[13,44,75],"identifying":[14],"arbitrarily":[15],"sized":[16],"non-spherical":[17],"clusters":[18],"in":[19],"supporting":[20],"wireless":[21],"channel":[22,70],"modeling.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"improve":[28],"the":[29,77],"Mahalanobis":[30],"distance":[31],"metric":[32],"propose":[34],"a":[35],"novel":[36],"space-transformed":[37],"weighted":[39],"(STW-FCM)":[42],"algorithm":[43,52],"multipath":[46],"components":[47],"(MPCs).":[48],"The":[49],"proposed":[50,78],"STW-FCM":[51,79],"imposes":[53],"more":[54],"relaxed":[55],"assumptions":[56],"on":[57],"cluster":[58],"shapes,":[59],"allowing":[60],"better":[61],"accommodation":[62],"of":[63],"irregularly":[64],"shaped":[65],"clusters.":[66],"Both":[67],"synthetic":[68],"measurement":[71],"data":[72],"are":[73],"utilized":[74],"validating":[76],"algorithm,":[80],"demonstrating":[81],"its":[82],"superior":[83],"performance":[84],"compared":[85],"to":[86],"existing":[87],"algorithms.":[89]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-08T00:00:00"}