{"id":"https://openalex.org/W2896517006","doi":"https://doi.org/10.1109/fuzz-ieee.2018.8491558","title":"Analysis of Streaming Clustering Using an Incremental Validity Index","display_name":"Analysis of Streaming Clustering Using an Incremental Validity Index","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896517006","doi":"https://doi.org/10.1109/fuzz-ieee.2018.8491558","mag":"2896517006"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2018.8491558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2018.8491558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5036719490","display_name":"Omar A. Ibrahim","orcid":"https://orcid.org/0000-0003-1958-4002"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Omar A. Ibrahim","raw_affiliation_strings":["Dept of Electrical Engineering and Computer Science, Columbia, Mo, USA"],"affiliations":[{"raw_affiliation_string":"Dept of Electrical Engineering and Computer Science, Columbia, Mo, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018303984","display_name":"James M. Keller","orcid":"https://orcid.org/0000-0002-0306-7142"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James M. Keller","raw_affiliation_strings":["Dept of Electrical Engineering and Computer Science, Columbia, Mo, USA"],"affiliations":[{"raw_affiliation_string":"Dept of Electrical Engineering and Computer Science, Columbia, Mo, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043324448","display_name":"James C. Bezdek","orcid":"https://orcid.org/0000-0003-3901-7021"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James C. Bezdek","raw_affiliation_strings":["Dept of Electrical Engineering and Computer Science, Columbia, Mo, USA"],"affiliations":[{"raw_affiliation_string":"Dept of Electrical Engineering and Computer Science, Columbia, Mo, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036719490"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.303,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85517372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9995999932289124,"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":0.9995999932289124,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9954000115394592,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7390639185905457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6870169639587402},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.6831982135772705},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6173666715621948},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5924743413925171},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5742786526679993},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5635053515434265},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5384030342102051},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.4240301847457886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3326892852783203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2725321054458618}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7390639185905457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6870169639587402},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.6831982135772705},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6173666715621948},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5924743413925171},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5742786526679993},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5635053515434265},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5384030342102051},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.4240301847457886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3326892852783203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2725321054458618},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2018.8491558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2018.8491558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":29,"referenced_works":["https://openalex.org/W91065195","https://openalex.org/W182707955","https://openalex.org/W1627191216","https://openalex.org/W1699849350","https://openalex.org/W1975152892","https://openalex.org/W1975852288","https://openalex.org/W1985059878","https://openalex.org/W1996747841","https://openalex.org/W2051224630","https://openalex.org/W2052201135","https://openalex.org/W2088340225","https://openalex.org/W2101821333","https://openalex.org/W2120688485","https://openalex.org/W2123297508","https://openalex.org/W2127218421","https://openalex.org/W2129418437","https://openalex.org/W2156499390","https://openalex.org/W2156955338","https://openalex.org/W2170740664","https://openalex.org/W2171253128","https://openalex.org/W2510170734","https://openalex.org/W2550851831","https://openalex.org/W2784257168","https://openalex.org/W4295114475","https://openalex.org/W4295887557","https://openalex.org/W6603699870","https://openalex.org/W6678914141","https://openalex.org/W6683136438","https://openalex.org/W6725111227"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W154868527","https://openalex.org/W1494268238","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938","https://openalex.org/W2563912921","https://openalex.org/W2407611282"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,38],"study":[4],"the":[5,14,22,32,41,50,53,66,72,84,87,91],"internal":[6],"incremental":[7],"Davies-Bouldin":[8],"(iiDB)":[9],"cluster":[10,76,93],"validity":[11],"index":[12,24],"in":[13],"context":[15],"of":[16,34,52,68,74,79,86],"streaming":[17],"data":[18,81],"analysis.":[19],"We":[20,61],"extend":[21],"original":[23],"to":[25,46],"a":[26,69],"more":[27],"general":[28],"version":[29],"parameterized":[30],"by":[31],"exponent":[33],"membership":[35],"weights.":[36],"Then":[37],"illustrate":[39,65],"how":[40],"iiDB":[42],"can":[43],"be":[44],"used":[45],"analyze":[47],"and":[48,83],"understand":[49],"performance":[51],"Extended":[54],"Robust":[55],"Online":[56],"Streaming":[57],"Clustering":[58],"(EROLSC)":[59],"algorithm.":[60],"give":[62],"examples":[63],"that":[64],"appearance":[67],"new":[70],"cluster,":[71],"effect":[73,85],"different":[75],"sizes,":[77],"handling":[78],"outlier":[80],"samples,":[82],"input":[88],"order":[89],"on":[90],"resultant":[92],"history.":[94]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
