{"id":"https://openalex.org/W3015579431","doi":"https://doi.org/10.1109/ncc48643.2020.9056029","title":"Kernelized Graph-based Multi-view Clustering on High Dimensional Data","display_name":"Kernelized Graph-based Multi-view Clustering on High Dimensional Data","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3015579431","doi":"https://doi.org/10.1109/ncc48643.2020.9056029","mag":"3015579431"},"language":"en","primary_location":{"id":"doi:10.1109/ncc48643.2020.9056029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5025376928","display_name":"Supratim Manna","orcid":"https://orcid.org/0000-0002-1442-7625"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Supratim Manna","raw_affiliation_strings":["Department of Electrical Engineering, Indian Instiute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Instiute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011463439","display_name":"Jessy Rimaya Khonglah","orcid":"https://orcid.org/0000-0002-4724-8746"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jessy Rimaya Khonglah","raw_affiliation_strings":["Department of Electrical Engineering, Indian Instiute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Instiute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080264301","display_name":"Anirban Mukherjee","orcid":"https://orcid.org/0000-0002-8463-4347"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anirban Mukherjee","raw_affiliation_strings":["Department of Electrical Engineering, Indian Instiute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Instiute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069790572","display_name":"Goutam Saha","orcid":"https://orcid.org/0000-0001-6187-1684"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Goutam Saha","raw_affiliation_strings":["Department of Electronics & Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics & Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.0854,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.28492956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"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/T10057","display_name":"Face and Expression Recognition","score":0.996999979019165,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.829736590385437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7858165502548218},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5754225850105286},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5228498578071594},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5130711793899536},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.5017604827880859},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.44463494420051575},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.44304874539375305},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.44248640537261963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44138893485069275},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38797926902770996},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16501319408416748}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.829736590385437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7858165502548218},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5754225850105286},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5228498578071594},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5130711793899536},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.5017604827880859},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.44463494420051575},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.44304874539375305},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.44248640537261963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44138893485069275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38797926902770996},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16501319408416748}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc48643.2020.9056029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W1587559447","https://openalex.org/W1975172027","https://openalex.org/W1986007546","https://openalex.org/W2076363162","https://openalex.org/W2101324110","https://openalex.org/W2113573459","https://openalex.org/W2134529554","https://openalex.org/W2142109962","https://openalex.org/W2144502914","https://openalex.org/W2147278762","https://openalex.org/W2151417892","https://openalex.org/W2154683974","https://openalex.org/W2155074104","https://openalex.org/W2165874743","https://openalex.org/W2168029744","https://openalex.org/W2171837816","https://openalex.org/W2422268042","https://openalex.org/W2514638911","https://openalex.org/W2577472518","https://openalex.org/W2586686153","https://openalex.org/W2792874300","https://openalex.org/W2913094719","https://openalex.org/W2964169082","https://openalex.org/W2971182726","https://openalex.org/W3101749733","https://openalex.org/W4285719527","https://openalex.org/W4313169793","https://openalex.org/W6669499580","https://openalex.org/W6675134712","https://openalex.org/W6681738144","https://openalex.org/W6684578312","https://openalex.org/W6731795620","https://openalex.org/W6758768796"],"related_works":["https://openalex.org/W4301002638","https://openalex.org/W2371010743","https://openalex.org/W2163563073","https://openalex.org/W3088133960","https://openalex.org/W1987613674","https://openalex.org/W3186815950","https://openalex.org/W4253632195","https://openalex.org/W2393707058","https://openalex.org/W2590117803","https://openalex.org/W3124860551"],"abstract_inverted_index":{"Kernelized":[0],"graph-based":[1,42],"learning":[2],"methods":[3],"have":[4],"gained":[5],"popularity":[6],"because":[7],"of":[8,59,81,89,105],"its":[9],"better":[10,101],"performances":[11,75],"in":[12,17],"the":[13,29,52,57,60,73,90,106],"clustering":[14,30,43,53,74],"task.":[15],"But":[16],"high":[18,47],"dimensional":[19,48],"data,":[20],"there":[21],"exist":[22],"many":[23],"redundant":[24],"features":[25],"which":[26,69],"may":[27],"degrade":[28],"performances.":[31],"To":[32],"solve":[33],"this":[34],"issue,":[35],"we":[36],"propose":[37],"a":[38,82,100],"novel":[39],"multi-view":[40],"kernelized":[41],"(MVKGC)":[44],"framework":[45],"for":[46],"data":[49,84,97],"that":[50],"performs":[51],"task":[54],"while":[55],"reducing":[56],"dimensionality":[58],"data.":[61],"The":[62,86],"proposed":[63,91,107],"method":[64,92,108],"also":[65],"uses":[66],"multiple":[67],"views":[68],"help":[70],"to":[71],"improve":[72],"by":[76],"providing":[77],"different":[78,94],"partial":[79],"information":[80],"given":[83],"set.":[85],"extensive":[87],"experiments":[88],"on":[93],"real-world":[95],"benchmark":[96],"sets":[98],"show":[99],"and":[102],"efficient":[103],"performance":[104],"than":[109],"other":[110],"existing":[111],"methods.":[112]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}