{"id":"https://openalex.org/W4401214884","doi":"https://doi.org/10.1145/3638530.3654271","title":"ATOMIC: an Interpretable Clustering Method Based on Data Topology","display_name":"ATOMIC: an Interpretable Clustering Method Based on Data Topology","publication_year":2024,"publication_date":"2024-07-14","ids":{"openalex":"https://openalex.org/W4401214884","doi":"https://doi.org/10.1145/3638530.3654271"},"language":"en","primary_location":{"id":"doi:10.1145/3638530.3654271","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638530.3654271","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5092711897","display_name":"Matthew Vandergrift","orcid":"https://orcid.org/0009-0005-6112-5311"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Matthew Vandergrift","raw_affiliation_strings":["Queen's University, Kingston, Canada"],"affiliations":[{"raw_affiliation_string":"Queen's University, Kingston, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075046931","display_name":"Ting Hu","orcid":"https://orcid.org/0000-0001-6382-0602"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ting Hu","raw_affiliation_strings":["Queen's University, Kingston, Canada"],"affiliations":[{"raw_affiliation_string":"Queen's University, Kingston, Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092711897"],"corresponding_institution_ids":["https://openalex.org/I204722609"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12513144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"319","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9943000078201294,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9943000078201294,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9868000149726868,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7123576402664185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6286839246749878},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.6097946763038635},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42167437076568604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30408990383148193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2100622057914734},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.15545231103897095}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7123576402664185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6286839246749878},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.6097946763038635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42167437076568604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30408990383148193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2100622057914734},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.15545231103897095}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638530.3654271","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638530.3654271","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":13,"referenced_works":["https://openalex.org/W2099746672","https://openalex.org/W2302947639","https://openalex.org/W2910705748","https://openalex.org/W2911581740","https://openalex.org/W2945976633","https://openalex.org/W2949271011","https://openalex.org/W3024119303","https://openalex.org/W3049684724","https://openalex.org/W3110435694","https://openalex.org/W3182893197","https://openalex.org/W3205844367","https://openalex.org/W4388134851","https://openalex.org/W6945358117"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"State-of-the-art":[0],"clustering":[1,24,44,86,182,197],"algorithms":[2,68],"are":[3,40,60,127,145],"well":[4],"equipped":[5],"to":[6,56,70,78,105,164,180,192],"partition":[7,165],"a":[8,19,34,122,131],"dataset,":[9],"but":[10],"provide":[11],"no":[12],"insight":[13],"into":[14,114],"their":[15,54,79],"process":[16],"for":[17,100,129],"selecting":[18],"particular":[20],"partition.":[21],"As":[22],"such":[23],"strategies":[25],"which":[26,52,88,144],"work":[27],"in":[28,33,138,188],"an":[29,84],"interpretable":[30,85,194],"manner,":[31],"i.e.,":[32],"way":[35],"that":[36,126],"can":[37],"be":[38],"understood,":[39],"desired.":[41],"Current":[42],"explainable":[43,196],"approaches":[45],"focus":[46],"mainly":[47],"on":[48,73,159,172],"explaining":[49],"k-means":[50],"clustering,":[51],"limits":[53],"scope":[55],"problems":[57],"where":[58],"clusters":[59],"spherical":[61],"and":[62,195],"convex.":[63],"Additionally,":[64],"many":[65],"of":[66,96,124,133,190],"these":[67,90],"struggle":[69],"produce":[71],"explanations":[72],"high":[74],"dimensional":[75],"data":[76,112],"due":[77],"computational":[80],"complexity.":[81],"We":[82,168,184],"propose":[83],"methodology":[87],"addresses":[89],"challenges.":[91],"Our":[92],"algorithm,":[93],"ATOMIC:":[94],"Analysis":[95],"Topology":[97],"Oriented":[98],"Method":[99],"Interpretable":[101],"Clustering,":[102],"is":[103,118],"designed":[104],"answer":[106],"the":[107,136,139,166],"question":[108],"\"why":[109],"does":[110],"my":[111],"fit":[113],"distinct":[115],"clusters?\".":[116],"This":[117],"done":[119],"by":[120,147],"identifying":[121],"set":[123],"variables":[125,149],"responsible":[128],"isolating":[130],"cluster":[132],"data-points":[134],"from":[135,162],"rest":[137],"dataset.":[140,167],"To":[141],"locate":[142],"partitions":[143],"defined":[146],"specific":[148],"we":[150],"utilize":[151],"Novelty":[152],"Search":[153],"with":[154,177],"Local":[155],"Competition.":[156],"ATOMIC":[157],"relies":[158],"basic":[160],"concepts":[161],"topology":[163],"test":[169],"our":[170,186],"algorithm":[171,187],"well-studied":[173],"high-dimensional":[174],"datasets,":[175],"along":[176],"performance":[178],"comparisons":[179],"state-of-the-art":[181],"methodologies.":[183,198],"compare":[185],"terms":[189],"interpretability":[191],"other":[193]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
