{"id":"https://openalex.org/W2901496972","doi":"https://doi.org/10.1109/ic3.2018.8530571","title":"Data Clustering Based on Data Transformation and Hybrid Step Size-Based Cuckoo Search","display_name":"Data Clustering Based on Data Transformation and Hybrid Step Size-Based Cuckoo Search","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2901496972","doi":"https://doi.org/10.1109/ic3.2018.8530571","mag":"2901496972"},"language":"en","primary_location":{"id":"doi:10.1109/ic3.2018.8530571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2018.8530571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Eleventh International Conference on Contemporary Computing (IC3)","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/A5072373865","display_name":"Avinash ChandraPandey","orcid":null},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Avinash ChandraPandey","raw_affiliation_strings":["Jaypee Institute of Information Technology, Noida"],"affiliations":[{"raw_affiliation_string":"Jaypee Institute of Information Technology, Noida","institution_ids":["https://openalex.org/I154970844"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023161213","display_name":"Dharmveer SinghRajpoot","orcid":null},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dharmveer SinghRajpoot","raw_affiliation_strings":["Jaypee Institute of Information Technology, Noida"],"affiliations":[{"raw_affiliation_string":"Jaypee Institute of Information Technology, Noida","institution_ids":["https://openalex.org/I154970844"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015706894","display_name":"Mukesh Saraswat","orcid":"https://orcid.org/0000-0002-3427-9105"},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mukesh Saraswat","raw_affiliation_strings":["Jaypee Institute of Information Technology, Noida"],"affiliations":[{"raw_affiliation_string":"Jaypee Institute of Information Technology, Noida","institution_ids":["https://openalex.org/I154970844"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072373865"],"corresponding_institution_ids":["https://openalex.org/I154970844"],"apc_list":null,"apc_paid":null,"fwci":0.8144,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80180595,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9977999925613403,"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":0.9977999925613403,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9894999861717224,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cuckoo-search","display_name":"Cuckoo search","score":0.927640438079834},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8730326890945435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6836342215538025},{"id":"https://openalex.org/keywords/cuckoo","display_name":"Cuckoo","score":0.6340123414993286},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.629033625125885},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.596939206123352},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5809785723686218},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5760028958320618},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49502748250961304},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4579003155231476},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.43809932470321655},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4307659864425659},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4222184419631958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4125930368900299},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4114454686641693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2189946174621582}],"concepts":[{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.927640438079834},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8730326890945435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6836342215538025},{"id":"https://openalex.org/C2776810535","wikidata":"https://www.wikidata.org/wiki/Q26381","display_name":"Cuckoo","level":2,"score":0.6340123414993286},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.629033625125885},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.596939206123352},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5809785723686218},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5760028958320618},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49502748250961304},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4579003155231476},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.43809932470321655},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4307659864425659},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4222184419631958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4125930368900299},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4114454686641693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2189946174621582},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C90856448","wikidata":"https://www.wikidata.org/wiki/Q431","display_name":"Zoology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3.2018.8530571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2018.8530571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Eleventh International Conference on Contemporary Computing (IC3)","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":34,"referenced_works":["https://openalex.org/W79970639","https://openalex.org/W277317943","https://openalex.org/W368005490","https://openalex.org/W1585002319","https://openalex.org/W1595159159","https://openalex.org/W1673310716","https://openalex.org/W1970204203","https://openalex.org/W1996610028","https://openalex.org/W2011430131","https://openalex.org/W2071965987","https://openalex.org/W2105543877","https://openalex.org/W2120353823","https://openalex.org/W2143169494","https://openalex.org/W2143690175","https://openalex.org/W2152195021","https://openalex.org/W2170432751","https://openalex.org/W2217442075","https://openalex.org/W2324768929","https://openalex.org/W2470769522","https://openalex.org/W2543580944","https://openalex.org/W2594056497","https://openalex.org/W2597453252","https://openalex.org/W2603687313","https://openalex.org/W2611477785","https://openalex.org/W2746215166","https://openalex.org/W2758340275","https://openalex.org/W2768737513","https://openalex.org/W2786592630","https://openalex.org/W2791090217","https://openalex.org/W3101288326","https://openalex.org/W3152330821","https://openalex.org/W4301221729","https://openalex.org/W6603190838","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W3183935101","https://openalex.org/W3004779303","https://openalex.org/W2765530022","https://openalex.org/W4309048563","https://openalex.org/W2755443890","https://openalex.org/W2980152930","https://openalex.org/W25690811","https://openalex.org/W2780013245","https://openalex.org/W164326178","https://openalex.org/W2607258344"],"abstract_inverted_index":{"Data":[0,63],"clustering":[1,20,48],"is":[2,21,27,75],"a":[3,12,22,46],"prominent":[4],"analytic":[5],"method":[6,49,61,65,80,88],"which":[7,74],"discovers":[8],"the":[9,86,93],"clusters":[10],"in":[11],"dataset":[13,38],"based":[14,50,58],"on":[15,51,92],"some":[16],"similarity":[17],"measures.":[18],"Since,":[19],"NP-hard":[23],"problem,":[24],"thus":[25],"it":[26],"difficult":[28],"to":[29],"find":[30],"optimal":[31],"cluster":[32],"for":[33,70,81],"large":[34],"and":[35,54,68,101,111],"high":[36],"dimensional":[37],"using":[39],"traditional":[40],"methods.":[41],"Therefore,":[42],"this":[43],"paper":[44],"introduces":[45],"data":[47,52,73],"transformation":[53,64,71],"hybrid":[55],"step":[56],"size":[57],"cuckoo":[59,104,113],"search":[60],"(HSCS).":[62],"uses":[66],"PCA":[67],"ICA":[69],"of":[72,85],"further":[76],"used":[77],"by":[78],"HSCS":[79],"clustering.":[82],"The":[83],"performance":[84],"proposed":[87],"has":[89],"been":[90],"tested":[91],"six":[94],"benchmark":[95],"datasets":[96],"taken":[97],"from":[98],"UCI":[99],"repository":[100],"compared":[102],"with":[103],"search,":[105],"particle":[106],"swarm":[107],"optimization,":[108],"differential":[109],"evolution,":[110],"improved":[112],"search.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
