{"id":"https://openalex.org/W2185979412","doi":null,"title":"A Review of Image Data Clustering Techniques","display_name":"A Review of Image Data Clustering Techniques","publication_year":null,"publication_date":null,"ids":{"openalex":"https://openalex.org/W2185979412","mag":"2185979412"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.684.92","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.684.92","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ijsce.org/attachments/File/v2i1/A0417022112.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5015642066","display_name":"Ashwini D. Gulhane","orcid":"https://orcid.org/0009-0005-3176-4681","observed_orcids":["https://orcid.org/0009-0005-3176-4681"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashwini Gulhane","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079150403","display_name":"Prashant L. Paikrao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prashant L. Paikrao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"D. S. Chaudhari","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. S. Chaudhari","raw_affiliation_strings":["Government College of Engineering, Amravati"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Government College of Engineering, Amravati","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":1.0,"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":1.0,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":9.999999747378752e-05,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":9.999999747378752e-05,"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/k-means-clustering","display_name":"K-means clustering","score":0.7829999923706055},{"id":"https://openalex.org/keywords/pixel-clustering","display_name":"pixel clustering","score":0.6169999837875366},{"id":"https://openalex.org/keywords/clustering-algorithms","display_name":"clustering algorithms","score":0.8100000023841858},{"id":"https://openalex.org/keywords/data-density","display_name":"data density","score":0.40400001406669617}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.869583010673523},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.712193489074707},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.6838037371635437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6150878667831421},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5891844034194946},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.5885194540023804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5778387784957886},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5044213533401489},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.4918811321258545},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4768977165222168},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4732181131839752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4553960859775543},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.42987412214279175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4281437397003174}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.684.92","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.684.92","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ijsce.org/attachments/File/v2i1/A0417022112.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W332214200","https://openalex.org/W1601236548","https://openalex.org/W1992419399","https://openalex.org/W2101744728","https://openalex.org/W2136023023","https://openalex.org/W2160990969","https://openalex.org/W2163016402","https://openalex.org/W2333225507","https://openalex.org/W2388695844"],"related_works":["https://openalex.org/W2367671290","https://openalex.org/W7096424997","https://openalex.org/W7096144678","https://openalex.org/W4412545816","https://openalex.org/W2156906483","https://openalex.org/W3162372184","https://openalex.org/W2272758701","https://openalex.org/W2167601989","https://openalex.org/W2612813719","https://openalex.org/W7096752905"],"abstract_inverted_index":{"In":[0,32],"order":[1],"to":[2],"the":[3,5,9,15],"find":[4],"close":[6],"association":[7],"between":[8],"density":[10],"of":[11,19,21,54,65],"data":[12,17],"points,":[13],"in":[14],"given":[16],"set":[18],"pixels":[20],"an":[22,26],"image,":[23],"clustering":[24,36,41,55,59],"provides":[25],"easy":[27],"analysis":[28],"and":[29,50],"proper":[30],"validation.":[31],"this":[33],"paper":[34],"various":[35],"techniques":[37],"along":[38],"with":[39],"some":[40],"algorithms":[42],"are":[43],"described.":[44],"Further":[45],"k-means":[46,66],"algorithm,":[47],"its":[48],"limitations":[49,64],"a":[51],"new":[52],"approach":[53],"called":[56],"as":[57],"M-step":[58],"that":[60],"may":[61],"overcomes":[62],"these":[63],"is":[67],"included.":[68]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2025-10-27T00:00:00"}
