{"id":"https://openalex.org/W4240323802","doi":"https://doi.org/10.1504/ijcvr.2016.10000045","title":"Multiple object clustering using FCM and K-means algorithms","display_name":"Multiple object clustering using FCM and K-means algorithms","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W4240323802","doi":"https://doi.org/10.1504/ijcvr.2016.10000045"},"language":"en","primary_location":{"id":"doi:10.1504/ijcvr.2016.10000045","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcvr.2016.10000045","pdf_url":null,"source":{"id":"https://openalex.org/S11968101","display_name":"International Journal of Computational Vision and Robotics","issn_l":"1752-9131","issn":["1752-9131","1752-914X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Vision and Robotics","raw_type":"journal-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/A5102148462","display_name":"Kamal Mehta","orcid":null},"institutions":[{"id":"https://openalex.org/I165831266","display_name":"Nirma University","ror":"https://ror.org/05qkq7x38","country_code":"IN","type":"education","lineage":["https://openalex.org/I165831266"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kamal K. Mehta","raw_affiliation_strings":["Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, India","institution_ids":["https://openalex.org/I165831266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051546420","display_name":"Sanjivani Shantaiya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanjivani Shantaiya","raw_affiliation_strings":["Department of Computer Science and Engineering, Disha Institute of Management and Technology, Raipur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Disha Institute of Management and Technology, Raipur, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064761459","display_name":"Kesari Verma","orcid":null},"institutions":[{"id":"https://openalex.org/I38335241","display_name":"National Institute of Technology Raipur","ror":"https://ror.org/02y553197","country_code":"IN","type":"education","lineage":["https://openalex.org/I38335241"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kesari Verma","raw_affiliation_strings":["Department of Masters of Computer Application, National Institute of Technology, Raipur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Masters of Computer Application, National Institute of Technology, Raipur, India","institution_ids":["https://openalex.org/I38335241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46016854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"4","first_page":"331","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.906499981880188,"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":0.906499981880188,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9043999910354614,"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/computer-science","display_name":"Computer science","score":0.8586198687553406},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8568755984306335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6002405285835266},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5771323442459106},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5185726284980774},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.5016183853149414},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49389034509658813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49199363589286804},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.46562689542770386},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.45393359661102295},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4220942258834839},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3346792757511139}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8586198687553406},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8568755984306335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6002405285835266},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5771323442459106},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5185726284980774},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.5016183853149414},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49389034509658813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49199363589286804},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.46562689542770386},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.45393359661102295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4220942258834839},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3346792757511139},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijcvr.2016.10000045","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcvr.2016.10000045","pdf_url":null,"source":{"id":"https://openalex.org/S11968101","display_name":"International Journal of Computational Vision and Robotics","issn_l":"1752-9131","issn":["1752-9131","1752-914X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Vision and Robotics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.550000011920929,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4312412183"],"abstract_inverted_index":{"Automatic":[0],"classification":[1],"and":[2,6,25,48,50,87,99],"recognition":[3],"of":[4,10,14,23,36,42,46,56,64],"images":[5,45],"video":[7],"is":[8],"one":[9],"the":[11,60,71],"challenging":[12],"tasks":[13],"digital":[15],"image":[16],"processing.":[17],"This":[18],"paper":[19,38],"presents":[20],"performance":[21],"analysis":[22],"K-means":[24,27,98,103],"fuzzy":[26,111],"clustering":[28,101,104,113],"algorithms":[29],"along":[30],"with":[31],"experimental":[32,91],"study.":[33],"The":[34,74,90],"objectives":[35],"this":[37],"are":[39,67,76],"automatic":[40],"extraction":[41],"features":[43,57],"from":[44],"vehicles":[47,86],"pedestrians":[49],"classify":[51],"them.":[52],"A":[53],"good":[54],"set":[55],"that":[58],"capture":[59],"most":[61],"important":[62],"properties":[63],"an":[65],"object":[66],"used":[68],"to":[69,106],"identify":[70],"objects":[72,75],"uniquely.":[73],"classified":[77],"into":[78],"three":[79],"different":[80],"clusters":[81],"such":[82],"as":[83],"pedestrians,":[84],"light":[85],"heavy":[88],"vehicles.":[89],"studies":[92],"were":[93],"performed":[94],"in":[95],"MATLAB":[96],"for":[97],"c-means":[100,112],"algorithms.":[102],"proven":[105],"be":[107],"more":[108],"effective":[109],"than":[110],"algorithm.":[114]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
