{"id":"https://openalex.org/W4293518843","doi":"https://doi.org/10.1109/cibcb55180.2022.9863036","title":"HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data","display_name":"HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data","publication_year":2022,"publication_date":"2022-08-15","ids":{"openalex":"https://openalex.org/W4293518843","doi":"https://doi.org/10.1109/cibcb55180.2022.9863036"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb55180.2022.9863036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb55180.2022.9863036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","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/A5077947342","display_name":"Preeti Jha","orcid":"https://orcid.org/0000-0002-8756-4065"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Preeti Jha","raw_affiliation_strings":["Indian Institute of Technology Indore,Computer Science and Engineering,Indore,India","Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore,Computer Science and Engineering,Indore,India","institution_ids":["https://openalex.org/I64295750"]},{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015363446","display_name":"Aruna Tiwari","orcid":"https://orcid.org/0000-0002-0394-0327"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aruna Tiwari","raw_affiliation_strings":["Indian Institute of Technology Indore,Computer Science and Engineering,Indore,India","Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore,Computer Science and Engineering,Indore,India","institution_ids":["https://openalex.org/I64295750"]},{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086331021","display_name":"Neha Bharill","orcid":"https://orcid.org/0000-0002-2202-3647"},"institutions":[{"id":"https://openalex.org/I1336379959","display_name":"Mahindra Group (India)","ror":"https://ror.org/05mxsz225","country_code":"IN","type":"company","lineage":["https://openalex.org/I1336379959"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neha Bharill","raw_affiliation_strings":["Mahindra University,Computer Science and Engineering,Hyderabad,India","Computer Science and Engineering, Mahindra University, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Mahindra University,Computer Science and Engineering,Hyderabad,India","institution_ids":["https://openalex.org/I1336379959"]},{"raw_affiliation_string":"Computer Science and Engineering, Mahindra University, Hyderabad, India","institution_ids":["https://openalex.org/I1336379959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052390193","display_name":"Milind B. Ratnaparkhe","orcid":"https://orcid.org/0000-0002-1607-7876"},"institutions":[{"id":"https://openalex.org/I4210166498","display_name":"Indian Institute of Soybean Research","ror":"https://ror.org/05vm6r550","country_code":"IN","type":"facility","lineage":["https://openalex.org/I179420787","https://openalex.org/I4210166498"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Milind Ratnaparkhe","raw_affiliation_strings":["ICAR-Indian Institute of Soybean Research,Biotechnology,Indore,India","Biotechnology, ICAR-Indian Institute of Soybean Research, Indore, India"],"affiliations":[{"raw_affiliation_string":"ICAR-Indian Institute of Soybean Research,Biotechnology,Indore,India","institution_ids":["https://openalex.org/I4210166498"]},{"raw_affiliation_string":"Biotechnology, ICAR-Indian Institute of Soybean Research, Indore, India","institution_ids":["https://openalex.org/I4210166498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019008348","display_name":"Om Prakash Patel","orcid":"https://orcid.org/0000-0002-5295-4880"},"institutions":[{"id":"https://openalex.org/I1336379959","display_name":"Mahindra Group (India)","ror":"https://ror.org/05mxsz225","country_code":"IN","type":"company","lineage":["https://openalex.org/I1336379959"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Om Prakash Patel","raw_affiliation_strings":["Mahindra University,Computer Science and Engineering,Hyderabad,India","Computer Science and Engineering, Mahindra University, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Mahindra University,Computer Science and Engineering,Hyderabad,India","institution_ids":["https://openalex.org/I1336379959"]},{"raw_affiliation_string":"Computer Science and Engineering, Mahindra University, Hyderabad, India","institution_ids":["https://openalex.org/I1336379959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011888138","display_name":"Vaibhav Anand","orcid":null},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vaibhav Anand","raw_affiliation_strings":["Indian Institute of Technology Indore,Computer Science and Engineering,Indore,India","Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore,Computer Science and Engineering,Indore,India","institution_ids":["https://openalex.org/I64295750"]},{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002804082","display_name":"Sudhanshu Arya","orcid":"https://orcid.org/0000-0002-6030-5258"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sudhanshu Arya","raw_affiliation_strings":["Indian Institute of Technology Indore,Computer Science and Engineering,Indore,India","Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore,Computer Science and Engineering,Indore,India","institution_ids":["https://openalex.org/I64295750"]},{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074808258","display_name":"Tanmay Singh","orcid":"https://orcid.org/0000-0002-3900-8654"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanmay Singh","raw_affiliation_strings":["Indian Institute of Technology Indore,Computer Science and Engineering,Indore,India","Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore,Computer Science and Engineering,Indore,India","institution_ids":["https://openalex.org/I64295750"]},{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5077947342"],"corresponding_institution_ids":["https://openalex.org/I64295750"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61038352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9907000064849854,"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":0.9907000064849854,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9728000164031982,"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/computer-science","display_name":"Computer science","score":0.7550891041755676},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7191781401634216},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5801722407341003},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5717682242393494},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.5493150353431702},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5468600988388062},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.521782636642456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.511457085609436},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4746328592300415},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4718896150588989},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.459267258644104},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42988884449005127},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42678022384643555},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.4235127568244934},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4172506332397461},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.098059743642807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7550891041755676},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7191781401634216},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5801722407341003},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5717682242393494},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.5493150353431702},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5468600988388062},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.521782636642456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.511457085609436},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4746328592300415},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4718896150588989},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.459267258644104},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42988884449005127},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42678022384643555},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4235127568244934},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4172506332397461},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.098059743642807},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1109/cibcb55180.2022.9863036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb55180.2022.9863036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4000000059604645,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320691","display_name":"Department of Science and Technology, Republic of South Africa","ror":"https://ror.org/048kh7197"},{"id":"https://openalex.org/F4320325255","display_name":"Ministry of Electronics and Information technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W82771173","https://openalex.org/W1520542291","https://openalex.org/W1971014294","https://openalex.org/W1992763738","https://openalex.org/W1995450389","https://openalex.org/W2031434922","https://openalex.org/W2100659887","https://openalex.org/W2129910037","https://openalex.org/W2323180518","https://openalex.org/W2386997096","https://openalex.org/W2542194815","https://openalex.org/W2581506937","https://openalex.org/W2733722625","https://openalex.org/W2741943936","https://openalex.org/W2901721539","https://openalex.org/W2913613269","https://openalex.org/W2964074409","https://openalex.org/W2999246302","https://openalex.org/W3035116401","https://openalex.org/W3080403081","https://openalex.org/W4225008421","https://openalex.org/W6685380521","https://openalex.org/W6756023869"],"related_works":["https://openalex.org/W2036503911","https://openalex.org/W2143402976","https://openalex.org/W2782648987","https://openalex.org/W2165695836","https://openalex.org/W3168768270","https://openalex.org/W2329845035","https://openalex.org/W2357149509","https://openalex.org/W2970954390","https://openalex.org/W3143682269","https://openalex.org/W4226410418"],"abstract_inverted_index":{"Fuzzy":[0,96],"clustering":[1,20,25,82,166,176],"is":[2,143,167],"a":[3,17,43,50,57,73,87,119,129,160,224],"common":[4],"way":[5,44],"to":[6,45,137,149,172,214],"divide":[7],"data":[8,48,127,142,157],"into":[9,145],"groups.":[10],"Even":[11],"though":[12],"it":[13],"has":[14,22],"been":[15],"improved":[16],"lot,":[18],"fuzzy":[19,165,175],"still":[21],"problems":[23],"while":[24],"real":[26],"high-dimensional":[27],"Big":[28,139],"Data":[29],"with":[30,42,169,221],"complicated":[31],"latent":[32],"distributions.":[33],"To":[34],"solve":[35],"this":[36,38,68],"problem,":[37],"study":[39],"comes":[40],"up":[41],"represent":[46],"the":[47,85,91,102,107,114,126,134,152,155,189,193,210],"in":[49,118,128,151,196,219,227],"feature":[51,130,147],"space":[52,131,148],"that":[53,188],"was":[54],"built":[55],"from":[56],"scalable":[58,88,164],"deep":[59,174],"neural":[60,135,170],"network":[61,136],"using":[62,113],"Apache":[63,115],"Spark":[64,116],"on":[65,101,182],"HPC.":[66],"In":[67],"paper,":[69],"we":[70],"proposed":[71,108,211],"SDnnRSIO-FCM,":[72],"Scalable":[74],"Deep":[75,92],"Neural":[76,93],"Network":[77,94],"Random":[78],"Sampling":[79],"Iterative":[80],"Optimization-FCM":[81],"algorithm,":[83],"and":[84,104,110,207,236],"SDnnLFCM,":[86],"version":[89],"of":[90,106,154,198,229],"Literal":[95],"c-Means":[97],"algorithm.":[98],"We":[99],"focus":[100],"design":[103],"implementation":[105],"SDnnRSIO-FCM":[109,190,212],"SDnnLFCM":[111,194,222],"algorithms":[112],"cluster":[117],"High-Performance":[120],"Computing":[121],"(HPC)":[122],"environment":[123],"by":[124,133,158],"representing":[125],"produced":[132],"handle":[138],"Data.":[140],"First,":[141],"mapped":[144],"new":[146],"aid":[150],"reconstruction":[153],"original":[156],"providing":[159],"good":[161],"representation.":[162],"Second,":[163],"embedded":[168],"networks":[171],"propose":[173],"methods.":[177],"The":[178],"experimental":[179],"results":[180],"conducted":[181],"two":[183],"huge":[184,215],"benchmark":[185],"datasets":[186],"show":[187],"algorithm":[191,195],"outperforms":[192],"terms":[197,228],"Normalized":[199],"Mutual":[200],"Information":[201],"(NMI),":[202],"Adjusted":[203],"Rand":[204],"Index":[205],"(ARI),":[206],"F-score.":[208],"Furthermore,":[209],"applied":[213],"soybean":[216],"protein":[217],"sequences":[218],"comparison":[220],"shows":[223],"significant":[225],"improvement":[226],"Silhouette":[230],"index":[231,234,238],"(SI),":[232],"Davies-Bouldin":[233],"(DBI),":[235],"Calinski-Harabasz":[237],"(CHI).":[239]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
