{"id":"https://openalex.org/W2596222206","doi":"https://doi.org/10.1117/12.2268523","title":"Cluster forest based fuzzy logic for massive data clustering","display_name":"Cluster forest based fuzzy logic for massive data clustering","publication_year":2017,"publication_date":"2017-03-17","ids":{"openalex":"https://openalex.org/W2596222206","doi":"https://doi.org/10.1117/12.2268523","mag":"2596222206"},"language":"en","primary_location":{"id":"doi:10.1117/12.2268523","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2268523","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5028857277","display_name":"Ines Lahmar","orcid":"https://orcid.org/0000-0002-5363-8724"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Ines Lahmar","raw_affiliation_strings":["Univ. de Sfax (Tunisia)"],"affiliations":[{"raw_affiliation_string":"Univ. de Sfax (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041177438","display_name":"Abdelkarim Ben Ayed","orcid":"https://orcid.org/0000-0002-5356-784X"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Abdelkarim Ben Ayed","raw_affiliation_strings":["Univ. de Sfax (Tunisia)"],"affiliations":[{"raw_affiliation_string":"Univ. de Sfax (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064452305","display_name":"Mohamed Ben Halima","orcid":"https://orcid.org/0000-0002-3224-2552"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Ben Halima","raw_affiliation_strings":["Univ. de Sfax (Tunisia)"],"affiliations":[{"raw_affiliation_string":"Univ. de Sfax (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053613060","display_name":"Adel M. Alimi","orcid":"https://orcid.org/0000-0002-0642-3384"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Adel M. Alimi","raw_affiliation_strings":["Univ. de Sfax (Tunisia)"],"affiliations":[{"raw_affiliation_string":"Univ. de Sfax (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028857277"],"corresponding_institution_ids":["https://openalex.org/I142899784"],"apc_list":null,"apc_paid":null,"fwci":0.9751,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81254623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10341","issue":null,"first_page":"103412J","last_page":"103412J"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9872999787330627,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9843999743461609,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8232129812240601},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.7445363998413086},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.6641179323196411},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6586253046989441},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.6257706880569458},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.6250839233398438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5977592468261719},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.5376784205436707},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.5202280879020691},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5176997184753418},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5096931457519531},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.49598750472068787},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4721757769584656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4190683364868164},{"id":"https://openalex.org/keywords/brown-clustering","display_name":"Brown clustering","score":0.41055455803871155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3674216866493225}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8232129812240601},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.7445363998413086},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6641179323196411},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6586253046989441},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.6257706880569458},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.6250839233398438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5977592468261719},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.5376784205436707},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.5202280879020691},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5176997184753418},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5096931457519531},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.49598750472068787},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4721757769584656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4190683364868164},{"id":"https://openalex.org/C167984511","wikidata":"https://www.wikidata.org/wiki/Q17003931","display_name":"Brown clustering","level":5,"score":0.41055455803871155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3674216866493225}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2268523","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2268523","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1480153478","https://openalex.org/W1639230534","https://openalex.org/W1800845203","https://openalex.org/W1990368529","https://openalex.org/W1995450389","https://openalex.org/W2036987424","https://openalex.org/W2057923756","https://openalex.org/W2067669858","https://openalex.org/W2071502922","https://openalex.org/W2134370969","https://openalex.org/W2193121729","https://openalex.org/W2400985439","https://openalex.org/W3037609093","https://openalex.org/W4211007335","https://openalex.org/W6636938332","https://openalex.org/W6638146005","https://openalex.org/W6659924431","https://openalex.org/W6679646736","https://openalex.org/W6712813632"],"related_works":["https://openalex.org/W2160785859","https://openalex.org/W2622412490","https://openalex.org/W3186815950","https://openalex.org/W2399084168","https://openalex.org/W2379398902","https://openalex.org/W2202413591","https://openalex.org/W2590117803","https://openalex.org/W2414630753","https://openalex.org/W2606552659","https://openalex.org/W2389934482"],"abstract_inverted_index":{"This":[0],"article":[1],"is":[2,17,74],"focused":[3],"in":[4,29,53,57,64],"developing":[5],"an":[6],"improved":[7],"cluster":[8,12],"ensemble":[9],"method":[10],"based":[11],"forests.":[13],"Cluster":[14],"forests":[15],"(CF)":[16],"considered":[18],"as":[19,99],"a":[20],"version":[21],"of":[22,32,70,77,87,120],"clustering":[23,33,43,47,115,130,141,147],"inspired":[24],"from":[25,157],"Random":[26],"Forests":[27],"(RF)":[28],"the":[30,54,65,71,75,88,92,96,108,113,118,133,144],"context":[31],"for":[34],"massive":[35],"data.":[36],"It":[37],"aggregates":[38],"intermediate":[39],"Fuzzy":[40],"C-Means":[41],"(FCM)":[42],"results":[44,50],"via":[45],"spectral":[46,55],"since":[48],"pseudo-clustering":[49],"are":[51],"presented":[52,152],"space":[56],"order":[58],"to":[59,84,91,102],"classify":[60],"these":[61],"data":[62,67,155],"sets":[63],"multidimensional":[66],"space.":[68],"One":[69],"main":[72],"advantages":[73],"use":[76],"FCM,":[78],"which":[79],"allows":[80],"building":[81],"fuzzy":[82,93,121],"membership":[83],"all":[85],"partitions":[86],"datasets":[89],"due":[90],"logic":[94],"whereas":[95],"classical":[97],"algorithms":[98],"K-means":[100,138],"permitted":[101],"build":[103],"just":[104],"hard":[105],"partitions.":[106],"In":[107,132],"first":[109],"place,":[110,135],"we":[111,124,136],"ameliorate":[112],"CF":[114],"algorithm":[116],"with":[117,127,143],"integration":[119],"FCM":[122,140],"and":[123,139,149],"compare":[125,137],"it":[126],"other":[128,150],"existing":[129],"methods.":[131],"second":[134],"methods":[142,153],"agglomerative":[145],"hierarchical":[146],"(HAC)":[148],"theory":[151],"using":[154],"benchmarks":[156],"UCI":[158],"repository.":[159]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}