{"id":"https://openalex.org/W2142470316","doi":"https://doi.org/10.1109/fuzz.2003.1206548","title":"A new clustering method based on geometrical moment of patterns","display_name":"A new clustering method based on geometrical moment of patterns","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2142470316","doi":"https://doi.org/10.1109/fuzz.2003.1206548","mag":"2142470316"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2003.1206548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1206548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","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/A5091292516","display_name":"Pradeep M. Patil","orcid":"https://orcid.org/0000-0003-0775-8239"},"institutions":[{"id":"https://openalex.org/I4210093989","display_name":"Sanskriti Samvardhan Mandal","ror":"https://ror.org/01egfqj98","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210093989"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P.M. Patil","raw_affiliation_strings":["Electronics and Computer Science & Engineering Department, SGGS College of Engineering and technology, Vishnupuri, Nanded, India","Electron. & Comput. Sci. & Eng. Dept., SGGS Coll. of Eng. & Technol., Nanded, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Computer Science & Engineering Department, SGGS College of Engineering and technology, Vishnupuri, Nanded, India","institution_ids":["https://openalex.org/I4210093989"]},{"raw_affiliation_string":"Electron. & Comput. Sci. & Eng. Dept., SGGS Coll. of Eng. & Technol., Nanded, India","institution_ids":["https://openalex.org/I4210093989"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082940095","display_name":"Priyadarshan Dhabe","orcid":"https://orcid.org/0000-0002-0470-3147"},"institutions":[{"id":"https://openalex.org/I4210093989","display_name":"Sanskriti Samvardhan Mandal","ror":"https://ror.org/01egfqj98","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210093989"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P.S. Dhabe","raw_affiliation_strings":["Electronics and Computer Science & Engineering Department, SGGS College of Engineering and technology, Vishnupuri, Nanded, India","Electron. & Comput. Sci. & Eng. Dept., SGGS Coll. of Eng. & Technol., Nanded, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Computer Science & Engineering Department, SGGS College of Engineering and technology, Vishnupuri, Nanded, India","institution_ids":["https://openalex.org/I4210093989"]},{"raw_affiliation_string":"Electron. & Comput. Sci. & Eng. Dept., SGGS Coll. of Eng. & Technol., Nanded, India","institution_ids":["https://openalex.org/I4210093989"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103355149","display_name":"U. V. Kulkarni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093989","display_name":"Sanskriti Samvardhan Mandal","ror":"https://ror.org/01egfqj98","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210093989"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"U.V. Kulkarni","raw_affiliation_strings":["Electronics and Computer Science & Engineering Department, SGGS College of Engineering and technology, Vishnupuri, Nanded, India","Electron. & Comput. Sci. & Eng. Dept., SGGS Coll. of Eng. & Technol., Nanded, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Computer Science & Engineering Department, SGGS College of Engineering and technology, Vishnupuri, Nanded, India","institution_ids":["https://openalex.org/I4210093989"]},{"raw_affiliation_string":"Electron. & Comput. Sci. & Eng. Dept., SGGS Coll. of Eng. & Technol., Nanded, India","institution_ids":["https://openalex.org/I4210093989"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038552968","display_name":"T.R. Sontakke","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093989","display_name":"Sanskriti Samvardhan Mandal","ror":"https://ror.org/01egfqj98","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210093989"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T.R. Sontakke","raw_affiliation_strings":["Electronics and Computer Science & Engineering Department, SGGS College of Engineering and technology, Vishnupuri, Nanded, India","Electron. & Comput. Sci. & Eng. Dept., SGGS Coll. of Eng. & Technol., Nanded, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Computer Science & Engineering Department, SGGS College of Engineering and technology, Vishnupuri, Nanded, India","institution_ids":["https://openalex.org/I4210093989"]},{"raw_affiliation_string":"Electron. & Comput. Sci. & Eng. Dept., SGGS Coll. of Eng. & Technol., Nanded, India","institution_ids":["https://openalex.org/I4210093989"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091292516"],"corresponding_institution_ids":["https://openalex.org/I4210093989"],"apc_list":null,"apc_paid":null,"fwci":0.4497,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76010563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"887","last_page":"891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9922999739646912,"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/T10320","display_name":"Neural Networks and Applications","score":0.9922999739646912,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9884999990463257,"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"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9797999858856201,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8712292909622192},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.7240036725997925},{"id":"https://openalex.org/keywords/zeroth-law-of-thermodynamics","display_name":"Zeroth law of thermodynamics","score":0.644690752029419},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.642423689365387},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6406999230384827},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.6109903454780579},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.584135890007019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5814764499664307},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.545793354511261},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5151382684707642},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4949490427970886},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4330032169818878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.429510235786438},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.42897123098373413},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4100736975669861},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09726786613464355}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8712292909622192},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.7240036725997925},{"id":"https://openalex.org/C68755742","wikidata":"https://www.wikidata.org/wiki/Q190983","display_name":"Zeroth law of thermodynamics","level":2,"score":0.644690752029419},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.642423689365387},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6406999230384827},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.6109903454780579},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.584135890007019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5814764499664307},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.545793354511261},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5151382684707642},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4949490427970886},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4330032169818878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.429510235786438},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.42897123098373413},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4100736975669861},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09726786613464355},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz.2003.1206548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1206548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W252937432","https://openalex.org/W1480487340","https://openalex.org/W1487809889","https://openalex.org/W1523015868","https://openalex.org/W1575087302","https://openalex.org/W1587362683","https://openalex.org/W2079891454","https://openalex.org/W2084812512","https://openalex.org/W2113076747","https://openalex.org/W2135296275","https://openalex.org/W2135346934","https://openalex.org/W2168603260","https://openalex.org/W6671611538","https://openalex.org/W6679986405"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W2160785859","https://openalex.org/W2103650652","https://openalex.org/W3120229345","https://openalex.org/W2188840951","https://openalex.org/W2171610853","https://openalex.org/W2025839902","https://openalex.org/W2360225591","https://openalex.org/W2342518500","https://openalex.org/W2101637161"],"abstract_inverted_index":{"In":[0],"this":[1,25],"paper":[2],"a":[3],"new":[4],"approach":[5,36,90],"of":[6,22,49,73,87],"moment":[7],"based":[8],"clustering":[9,45,100],"is":[10,37,53,68,91],"proposed,":[11],"in":[12],"which":[13],"cluster":[14],"centroids":[15],"are":[16,33],"calculated":[17],"using":[18],"regular":[19],"geometrical":[20],"moments":[21,32],"patterns.":[23],"For":[24],"purpose":[26],"zeroth":[27],"order":[28,31],"and":[29],"first":[30],"used.":[34],"This":[35],"compared":[38],"with":[39,56],"fuzzy":[40],"min-max":[41],"neural":[42],"network":[43,83],"(FMN)":[44],"algorithm.":[46,101],"The":[47,65,85],"performance":[48,66],"the":[50,78,82,88,98],"proposed":[51,89],"algorithm":[52],"found":[54,92],"equiporable":[55],"FMN":[57,99],"clustering,":[58],"when":[59],"tested":[60],"for":[61],"Fisher":[62],"Iris":[63],"data.":[64],"comparison":[67],"done":[69],"at":[70],"equal":[71],"number":[72],"clusters":[74],"created":[75],"by":[76,80],"both":[77],"algorithms":[79],"adjusting":[81],"parameters.":[84],"recall":[86],"around":[93],"three":[94],"times":[95],"faster":[96],"than":[97]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
