{"id":"https://openalex.org/W2549016221","doi":"https://doi.org/10.1109/icacci.2016.7732138","title":"Generalized similarity measure for categorical data clustering","display_name":"Generalized similarity measure for categorical data clustering","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2549016221","doi":"https://doi.org/10.1109/icacci.2016.7732138","mag":"2549016221"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2016.7732138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2016.7732138","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5001956353","display_name":"Shruti Sharma","orcid":"https://orcid.org/0000-0002-7610-4856"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shruti Sharma","raw_affiliation_strings":["Department of Computer Science and Engineering, Gurukul Institute of Engineering and Technology, Kota, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Gurukul Institute of Engineering and Technology, Kota, Rajasthan, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052876973","display_name":"Manoj K. Singh","orcid":"https://orcid.org/0000-0003-3633-6801"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manoj Singh","raw_affiliation_strings":["Department of Computer Science and Engineering, Gurukul Institute of Engineering and Technology, Kota, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Gurukul Institute of Engineering and Technology, Kota, Rajasthan, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3878,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61675448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"765","last_page":"769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9987999796867371,"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":0.9987999796867371,"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/T10057","display_name":"Face and Expression Recognition","score":0.9944999814033508,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9926000237464905,"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/categorical-variable","display_name":"Categorical variable","score":0.8991005420684814},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7835731506347656},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.7073870897293091},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6990943551063538},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6797152161598206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6640966534614563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.647793173789978},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5602514743804932},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5331453680992126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.466103196144104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41555696725845337},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2686634659767151},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20778867602348328},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08484658598899841},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06738507747650146}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8991005420684814},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7835731506347656},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.7073870897293091},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6990943551063538},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6797152161598206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6640966534614563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.647793173789978},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5602514743804932},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5331453680992126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.466103196144104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41555696725845337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2686634659767151},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20778867602348328},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08484658598899841},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06738507747650146},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2016.7732138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2016.7732138","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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":20,"referenced_works":["https://openalex.org/W1560541823","https://openalex.org/W1579444226","https://openalex.org/W1987869189","https://openalex.org/W2016878174","https://openalex.org/W2018698423","https://openalex.org/W2022201359","https://openalex.org/W2046644258","https://openalex.org/W2047343660","https://openalex.org/W2059975159","https://openalex.org/W2064686951","https://openalex.org/W2095897464","https://openalex.org/W2099581008","https://openalex.org/W2563401490","https://openalex.org/W2611775752","https://openalex.org/W4231029117","https://openalex.org/W4285719527","https://openalex.org/W6634694486","https://openalex.org/W6662076602","https://openalex.org/W6664747023","https://openalex.org/W6731038369"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W154868527","https://openalex.org/W2319693127","https://openalex.org/W2072263576","https://openalex.org/W2092161674","https://openalex.org/W2474567666","https://openalex.org/W1940044583","https://openalex.org/W2056226831","https://openalex.org/W2806903871","https://openalex.org/W4320802053"],"abstract_inverted_index":{"Categorical":[0],"data":[1,23,42],"needs":[2],"special":[3],"treatment":[4],"before":[5],"it":[6],"can":[7],"be":[8,26],"clustered":[9],"using":[10],"popular":[11,48,69],"methods":[12,18,30],"of":[13,34,89],"pattern":[14],"analysis.":[15],"Or":[16],"separate":[17],"to":[19,25,37,85],"deal":[20],"with":[21],"categorical":[22],"have":[24],"devised.":[27],"All":[28],"such":[29],"use":[31],"some":[32],"kind":[33],"similarity":[35,49],"metric":[36],"judge":[38],"how":[39],"similar":[40],"two":[41],"objects":[43],"are.":[44],"There":[45],"are":[46],"several":[47],"measures":[50,70],"and":[51],"switching":[52],"between":[53],"them":[54],"requires":[55],"much":[56],"effort.":[57],"This":[58],"paper":[59],"presents":[60],"a":[61,72],"Generalized":[62],"Similarity":[63],"Metric":[64],"(GSM)":[65],"which":[66],"inculcates":[67],"five":[68],"into":[71],"single":[73],"parameterized":[74],"formulation.":[75],"Its":[76],"implementation":[77],"in":[78],"famous":[79],"ROCK":[80],"algorithm":[81],"is":[82],"also":[83],"presented":[84],"show":[86],"the":[87],"efficiency":[88],"proposed":[90],"metrics.":[91]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-29T07:29:34.045763","created_date":"2025-10-10T00:00:00"}