{"id":"https://openalex.org/W3082742922","doi":"https://doi.org/10.1109/fuzz48607.2020.9177704","title":"Subspace Clustering and Feature Typicality Degrees: a Prospective Study","display_name":"Subspace Clustering and Feature Typicality Degrees: a Prospective Study","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082742922","doi":"https://doi.org/10.1109/fuzz48607.2020.9177704","mag":"3082742922"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz48607.2020.9177704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5075900406","display_name":"Marie\u2010Jeanne Lesot","orcid":"https://orcid.org/0000-0002-3604-6647"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Marie-Jeanne Lesot","raw_affiliation_strings":["Sorbonne Universit\u00e9, LIP6, Paris, France","LFI - Learning, Fuzzy and Intelligent systems (France)"],"affiliations":[{"raw_affiliation_string":"Sorbonne Universit\u00e9, LIP6, Paris, France","institution_ids":["https://openalex.org/I4210159731","https://openalex.org/I39804081"]},{"raw_affiliation_string":"LFI - Learning, Fuzzy and Intelligent systems (France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010251398","display_name":"Adrien Revault d\u2019Allonnes","orcid":"https://orcid.org/0000-0003-2888-1770"},"institutions":[{"id":"https://openalex.org/I48825208","display_name":"Universit\u00e9 Paris 8","ror":"https://ror.org/04wez5e68","country_code":"FR","type":"education","lineage":["https://openalex.org/I48825208"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Adrien Revault d'Allonnes","raw_affiliation_strings":["LIASD - Laboratoire d'Informatique Avanc\u00e9e de Saint-Denis (Universit\u00e9 Paris 8 Vincennes-Saint-Denis - 2 rue de la Libert\u00e9 - 93526 Saint-Denis cedex - France)"],"affiliations":[{"raw_affiliation_string":"LIASD - Laboratoire d'Informatique Avanc\u00e9e de Saint-Denis (Universit\u00e9 Paris 8 Vincennes-Saint-Denis - 2 rue de la Libert\u00e9 - 93526 Saint-Denis cedex - France)","institution_ids":["https://openalex.org/I48825208"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075900406"],"corresponding_institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10124973,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"51","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991000294685364,"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":0.9991000294685364,"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/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.8462257385253906},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7926934957504272},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7300771474838257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6369553804397583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5613735318183899},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5552195310592651},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5304509997367859},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5212400555610657},{"id":"https://openalex.org/keywords/complete-linkage-clustering","display_name":"Complete-linkage clustering","score":0.5125793814659119},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5104604959487915},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4914742708206177},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4816921651363373},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.44831469655036926},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.4347624182701111},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.41143232583999634},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3740006387233734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3556334972381592},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.2920685410499573},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.18265721201896667},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10767251253128052}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.8462257385253906},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7926934957504272},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7300771474838257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6369553804397583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5613735318183899},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5552195310592651},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5304509997367859},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5212400555610657},{"id":"https://openalex.org/C23822008","wikidata":"https://www.wikidata.org/wiki/Q5156437","display_name":"Complete-linkage clustering","level":5,"score":0.5125793814659119},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5104604959487915},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4914742708206177},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4816921651363373},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.44831469655036926},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.4347624182701111},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.41143232583999634},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3740006387233734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3556334972381592},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.2920685410499573},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.18265721201896667},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10767251253128052},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz48607.2020.9177704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02935279v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02935279","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020), Jul 2020, Glasgow, United Kingdom. ⟨10.1109/FUZZ48607.2020.9177704⟩","raw_type":"Conference papers"}],"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/W187065209","https://openalex.org/W1506518385","https://openalex.org/W1768158682","https://openalex.org/W1977496278","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2002041442","https://openalex.org/W2003217181","https://openalex.org/W2024430996","https://openalex.org/W2042035594","https://openalex.org/W2065811242","https://openalex.org/W2108560469","https://openalex.org/W2112210867","https://openalex.org/W2125070513","https://openalex.org/W2128286266","https://openalex.org/W2224187035","https://openalex.org/W2571899125","https://openalex.org/W2745361460","https://openalex.org/W2811375137","https://openalex.org/W2963365397","https://openalex.org/W2964837208","https://openalex.org/W2992877601","https://openalex.org/W3035258717","https://openalex.org/W3204243245","https://openalex.org/W4244268470","https://openalex.org/W4250657332","https://openalex.org/W4254311734","https://openalex.org/W6607650059","https://openalex.org/W6625122095","https://openalex.org/W6630246449","https://openalex.org/W6637883075","https://openalex.org/W6732395776","https://openalex.org/W6744043827","https://openalex.org/W6802217154"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"Subspace":[0],"clustering":[1],"can":[2],"offer,":[3],"beside":[4],"a":[5,14],"decomposition":[6],"of":[7,16,29,33,39,52],"data":[8,80],"into":[9],"homogeneous":[10],"and":[11,57],"distinct":[12],"clusters,":[13],"characterisation":[15],"the":[17,21,27,31,37,50],"subspaces":[18],"in":[19,36],"which":[20],"clusters":[22],"live.":[23],"This":[24],"paper":[25],"explores":[26],"possibility":[28],"capturing":[30],"notion":[32,51],"characteristic":[34],"features":[35,56],"framework":[38],"typicality":[40,53],"degrees,":[41],"as":[42],"typical":[43],"features.":[44],"To":[45],"that":[46],"aim,":[47],"it":[48],"discusses":[49],"degrees":[54,69],"for":[55],"proposes":[58],"an":[59],"Alternating":[60],"Cluster":[61],"Estimation":[62],"algorithm,":[63],"named":[64],"TbSC,":[65],"to":[66],"exploit":[67],"these":[68],"within":[70],"subspace":[71],"clustering.":[72],"It":[73],"illustrates":[74],"their":[75],"differences":[76],"experimentally":[77],"using":[78],"simple":[79],"sets.":[81]},"counts_by_year":[],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}