{"id":"https://openalex.org/W2041741276","doi":"https://doi.org/10.1145/2480362.2480392","title":"An algorithm for discovering clusters of different densities or shapes in noisy data sets","display_name":"An algorithm for discovering clusters of different densities or shapes in noisy data sets","publication_year":2013,"publication_date":"2013-03-18","ids":{"openalex":"https://openalex.org/W2041741276","doi":"https://doi.org/10.1145/2480362.2480392","mag":"2041741276"},"language":"en","primary_location":{"id":"doi:10.1145/2480362.2480392","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2480362.2480392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5039473897","display_name":"Fereshte Khani","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Fereshte Khani","raw_affiliation_strings":["Sharif University of Technology, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sharif University of Technology, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068547485","display_name":"Mohmmad Javad Hosseini","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohmmad Javad Hosseini","raw_affiliation_strings":["Sharif University of Technology, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sharif University of Technology, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050011312","display_name":"Ahmad Ali Abin","orcid":"https://orcid.org/0000-0002-0916-0348"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ahmad Ali Abin","raw_affiliation_strings":["Sharif University of Technology, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sharif University of Technology, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039326288","display_name":"Hamid Beigy","orcid":"https://orcid.org/0000-0003-1679-2092"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hamid Beigy","raw_affiliation_strings":["Sharif University of Technology, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sharif University of Technology, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"144","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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/T11106","display_name":"Data Management and Algorithms","score":0.9975000023841858,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8097569942474365},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7192338109016418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6850085258483887},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.632267951965332},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6291453242301941},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5810811519622803},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.5720096826553345},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.545483410358429},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5408746004104614},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.5211291909217834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5076380968093872},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3973926901817322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3895399570465088},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1402772068977356}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8097569942474365},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7192338109016418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6850085258483887},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.632267951965332},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6291453242301941},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5810811519622803},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.5720096826553345},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.545483410358429},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5408746004104614},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.5211291909217834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5076380968093872},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3973926901817322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3895399570465088},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1402772068977356},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2480362.2480392","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2480362.2480392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Annual ACM Symposium on Applied Computing","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":16,"referenced_works":["https://openalex.org/W80917968","https://openalex.org/W1673310716","https://openalex.org/W1971022913","https://openalex.org/W2003850925","https://openalex.org/W2022853835","https://openalex.org/W2082042699","https://openalex.org/W2099038161","https://openalex.org/W2118268275","https://openalex.org/W2126751256","https://openalex.org/W2129339998","https://openalex.org/W2141585940","https://openalex.org/W2160642098","https://openalex.org/W2161854574","https://openalex.org/W2325483632","https://openalex.org/W2373766213","https://openalex.org/W4298115364"],"related_works":["https://openalex.org/W4390662392","https://openalex.org/W71955863","https://openalex.org/W2359185137","https://openalex.org/W2610918223","https://openalex.org/W2085200861","https://openalex.org/W2789383625","https://openalex.org/W101821260","https://openalex.org/W2745792676","https://openalex.org/W4206278474","https://openalex.org/W1514923932"],"abstract_inverted_index":{"In":[0,74],"clustering":[1,66],"spatial":[2,22],"data,":[3],"we":[4,78],"are":[5],"given":[6],"a":[7,45,64],"set":[8,26,85],"of":[9,27,60,82],"points":[10,95],"in":[11,24,37,53],"Rn":[12],"and":[13,35,41,57,98],"the":[14,19,25,75,80,83,88],"objective":[15],"is":[16,44,50,91],"to":[17,101],"find":[18,87],"clusters":[20,30],"(representing":[21],"objects)":[23],"points.":[28],"Finding":[29],"with":[31,39],"different":[32],"shapes,":[33],"sizes,":[34],"densities":[36],"data":[38,84],"noise":[40],"potentially":[42],"outliers":[43],"challenging":[46],"task.":[47],"This":[48],"problem":[49],"especially":[51],"studied":[52],"machine":[54],"learning":[55],"community":[56],"has":[58],"lots":[59],"applications.":[61],"We":[62],"present":[63],"novel":[65],"technique,":[67],"which":[68],"can":[69],"solve":[70],"mentioned":[71],"issues":[72],"considerably.":[73],"proposed":[76],"algorithm,":[77],"let":[79],"structure":[81],"itself":[86],"clusters,":[89],"this":[90],"done":[92],"by":[93],"having":[94],"actively":[96],"send":[97],"receive":[99],"feedbacks":[100],"each":[102],"other.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}