{"id":"https://openalex.org/W2753551115","doi":"https://doi.org/10.1109/ifsa-scis.2017.8023319","title":"Preliminary study on an improved weight updating for fuzzy c-means with applications to image segmentation","display_name":"Preliminary study on an improved weight updating for fuzzy c-means with applications to image segmentation","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2753551115","doi":"https://doi.org/10.1109/ifsa-scis.2017.8023319","mag":"2753551115"},"language":"en","primary_location":{"id":"doi:10.1109/ifsa-scis.2017.8023319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-scis.2017.8023319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)","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/A5111535281","display_name":"Deeptha Girish","orcid":null},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Deeptha Girish","raw_affiliation_strings":["EECS Department, University of Cincinnati, Cincinnati, Ohio"],"affiliations":[{"raw_affiliation_string":"EECS Department, University of Cincinnati, Cincinnati, Ohio","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061680503","display_name":"Vineeta Singh","orcid":"https://orcid.org/0000-0002-0250-8364"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vineeta Singh","raw_affiliation_strings":["EECS Department, University of Cincinnati, Cincinnati, Ohio"],"affiliations":[{"raw_affiliation_string":"EECS Department, University of Cincinnati, Cincinnati, Ohio","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034068803","display_name":"Anca Ralescu","orcid":"https://orcid.org/0000-0002-7564-3540"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anca Ralescu","raw_affiliation_strings":["EECS Department, University of Cincinnati, Cincinnati, Ohio"],"affiliations":[{"raw_affiliation_string":"EECS Department, University of Cincinnati, Cincinnati, Ohio","institution_ids":["https://openalex.org/I63135867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111535281"],"corresponding_institution_ids":["https://openalex.org/I63135867"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17094283,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9882000088691711,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.988099992275238,"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":0.7088506817817688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6702605485916138},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6645271182060242},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6243340373039246},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6173092126846313},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5971257090568542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5754223465919495},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5602479577064514},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5160669684410095},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.4562661647796631},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45120346546173096},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4415476620197296},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4331762492656708},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.420485258102417},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.39803507924079895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35052192211151123},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.21575045585632324}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7088506817817688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6702605485916138},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6645271182060242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6243340373039246},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6173092126846313},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5971257090568542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5754223465919495},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5602479577064514},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5160669684410095},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.4562661647796631},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45120346546173096},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4415476620197296},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4331762492656708},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.420485258102417},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.39803507924079895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35052192211151123},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.21575045585632324},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ifsa-scis.2017.8023319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-scis.2017.8023319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6700000166893005,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1963847195","https://openalex.org/W1973880112","https://openalex.org/W1987971958","https://openalex.org/W1995450389","https://openalex.org/W2137818806","https://openalex.org/W2140742659","https://openalex.org/W2165094119"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W4205800335","https://openalex.org/W2387793296","https://openalex.org/W1558398159"],"abstract_inverted_index":{"Fuzzy":[0,117],"c-means":[1,118],"is":[2,43,60,70,126],"a":[3,9,29,52,57,84],"popular":[4],"clustering":[5,103],"algorithm":[6],"which":[7,48],"allows":[8],"single":[10],"data":[11,68,81],"point":[12,69,82],"to":[13,15,56,83,111,128,133],"belong":[14],"more":[16],"than":[17],"one":[18,44],"class":[19],"at":[20],"any":[21],"given":[22],"point.":[23],"It":[24],"has":[25],"been":[26],"used":[27],"for":[28],"variety":[30],"of":[31,51,78,93,102,115,123,131],"applications":[32,36],"especially":[33],"when":[34],"the":[35,49,76,80,100,113],"are":[37,107],"subjective":[38],"and":[39,104],"ambiguous.":[40],"Image":[41],"segmentation":[42],"such":[45],"application":[46],"in":[47,109],"decision":[50,77],"certain":[53],"pixel":[54],"belonging":[55],"particular":[58,85],"cluster":[59],"very":[61,71],"fuzzy.":[62],"The":[63],"weight":[64],"associated":[65],"with":[66,119],"every":[67],"important":[72],"as":[73],"it":[74],"controls":[75],"assigning":[79],"cluster.":[86],"In":[87],"this":[88],"study,":[89],"two":[90],"novel":[91],"methods":[92],"updating":[94,124],"weights":[95,125],"that":[96],"take":[97],"into":[98],"account":[99],"goodness":[101],"spatial":[105],"relationships":[106],"proposed":[108,121],"order":[110],"improve":[112],"results":[114],"clustering.":[116],"our":[120],"method":[122],"applied":[127],"different":[129],"kinds":[130],"images":[132],"perform":[134],"image":[135],"segmentation.":[136]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
