{"id":"https://openalex.org/W4230014765","doi":"https://doi.org/10.1504/ijdmb.2016.10000980","title":"K-walks: clustering gene-expression data using a K-means clustering algorithm optimised by random walks","display_name":"K-walks: clustering gene-expression data using a K-means clustering algorithm optimised by random walks","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W4230014765","doi":"https://doi.org/10.1504/ijdmb.2016.10000980"},"language":"en","primary_location":{"id":"doi:10.1504/ijdmb.2016.10000980","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijdmb.2016.10000980","pdf_url":null,"source":{"id":"https://openalex.org/S35771696","display_name":"International Journal of Data Mining and Bioinformatics","issn_l":"1748-5673","issn":["1748-5673","1748-5681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Mining and Bioinformatics","raw_type":"journal-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/A5017309162","display_name":"Tinghua Huang","orcid":"https://orcid.org/0000-0003-0387-9834"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tinghua Huang","raw_affiliation_strings":["College of Animal Science, Yangtze University, Jingzhou, Hubei 434025, China"],"affiliations":[{"raw_affiliation_string":"College of Animal Science, Yangtze University, Jingzhou, Hubei 434025, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101910300","display_name":"Min Yao","orcid":"https://orcid.org/0000-0001-5416-9192"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Yao","raw_affiliation_strings":["College of Animal Science, Yangtze University, Jingzhou, Hubei 434025, China"],"affiliations":[{"raw_affiliation_string":"College of Animal Science, Yangtze University, Jingzhou, Hubei 434025, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421009","display_name":"Juan Li","orcid":"https://orcid.org/0000-0002-1979-9049"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Li","raw_affiliation_strings":["College of Chemistry, Xiangtan University, Xiangtan, Hunan 411105, China"],"affiliations":[{"raw_affiliation_string":"College of Chemistry, Xiangtan University, Xiangtan, Hunan 411105, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004239635","display_name":"Qinghua Wu","orcid":"https://orcid.org/0000-0002-1130-470X"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Wu","raw_affiliation_strings":["College of Life Science, Yangtze University, Jingzhou, Hubei 434025, China"],"affiliations":[{"raw_affiliation_string":"College of Life Science, Yangtze University, Jingzhou, Hubei 434025, China","institution_ids":["https://openalex.org/I177739611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017309162"],"corresponding_institution_ids":["https://openalex.org/I177739611"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.20537919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":"2","first_page":"121","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9850999712944031,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9815999865531921,"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":0.8948928117752075},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.6180249452590942},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.617652952671051},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.5979000329971313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5895564556121826},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.5210987329483032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5133899450302124},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.5131600499153137},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5074109435081482},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49860525131225586},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.4364386200904846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31059107184410095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2307594120502472},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1544136106967926}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8948928117752075},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6180249452590942},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.617652952671051},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.5979000329971313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5895564556121826},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.5210987329483032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5133899450302124},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.5131600499153137},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5074109435081482},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49860525131225586},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.4364386200904846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31059107184410095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2307594120502472},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1544136106967926},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijdmb.2016.10000980","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijdmb.2016.10000980","pdf_url":null,"source":{"id":"https://openalex.org/S35771696","display_name":"International Journal of Data Mining and Bioinformatics","issn_l":"1748-5673","issn":["1748-5673","1748-5681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Mining and Bioinformatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W3144143113","https://openalex.org/W4306940721","https://openalex.org/W3022637481","https://openalex.org/W2892323093","https://openalex.org/W2160785859","https://openalex.org/W3088133960","https://openalex.org/W4301002638","https://openalex.org/W1584028106","https://openalex.org/W2257585997"],"abstract_inverted_index":{"Gene-expression":[0],"data":[1,35,43,96],"obtained":[2],"from":[3],"the":[4,50,84,116,136],"biological":[5],"experiments":[6],"always":[7],"have":[8],"thousands":[9,131],"of":[10,64,119,132],"dimensions,":[11],"which":[12,59],"can":[13],"be":[14],"very":[15],"confusing":[16],"and":[17,94,98,115],"perplexing":[18],"to":[19,62,82,111,125],"biologists":[20],"when":[21],"viewed":[22],"as":[23,57],"a":[24,71],"whole.":[25],"Clustering":[26],"analysis":[27,36],"is":[28,38,77,90,108,122,138],"an":[29],"explorative":[30],"data-mining":[31],"technique":[32],"for":[33,48,130],"statistical":[34],"that":[37,76],"widely":[39],"used":[40],"in":[41],"gene-expression":[42],"analysis.":[44],"Practical":[45],"approaches":[46],"employed":[47],"solving":[49],"clustering":[51,86,128],"problem":[52],"use":[53],"iterative":[54],"procedures":[55],"such":[56],"K-means,":[58],"typically":[60],"converge":[61],"one":[63],"many":[65],"local":[66],"minima.":[67],"Here,":[68],"we":[69],"propose":[70],"simulated":[72],"annealing":[73],"approximation":[74],"algorithm":[75,89,107,121,137],"optimised":[78],"using":[79],"random":[80],"walks":[81],"solve":[83],"K-means":[85,103],"problem.":[87],"The":[88,105],"verified":[91],"with":[92,100],"synthetic":[93],"real-world":[95],"sets":[97],"compared":[99],"other":[101],"well-known":[102],"variants.":[104],"new":[106],"less":[109],"sensitive":[110],"initial":[112],"cluster":[113],"centres,":[114],"primary":[117],"strength":[118],"our":[120],"its":[123],"ability":[124],"produce":[126],"high-quality":[127],"results":[129],"high-dimensional":[133],"data.":[134],"However,":[135],"computationally":[139],"intensive.":[140]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}