{"id":"https://openalex.org/W2294118632","doi":"https://doi.org/10.1007/978-3-319-25393-0_42","title":"A Novel K-Means Evolving Spiking Neural Network Model for Clustering Problems","display_name":"A Novel K-Means Evolving Spiking Neural Network Model for Clustering Problems","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2294118632","doi":"https://doi.org/10.1007/978-3-319-25393-0_42","mag":"2294118632"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-25393-0_42","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25393-0_42","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-25393-0_42","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031448944","display_name":"Haza Nuzly Abdull Hamed","orcid":"https://orcid.org/0000-0001-8619-4149"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Haza Nuzly Abdull Hamed","raw_affiliation_strings":["Soft Computing Research Group, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Skudai, 81310, Johor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soft Computing Research Group, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Skudai, 81310, Johor, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040779743","display_name":"Abdulrazak Yahya Saleh","orcid":null},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Abdulrazak Yahya Saleh","raw_affiliation_strings":["UTM Big Data Centre, Universiti Teknologi Malaysia (UTM), Skudai, 81310, Johor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UTM Big Data Centre, Universiti Teknologi Malaysia (UTM), Skudai, 81310, Johor, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109884442","display_name":"Siti Mariyam Shamsuddin","orcid":null},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Siti Mariyam Shamsuddin","raw_affiliation_strings":["UTM Big Data Centre, Universiti Teknologi Malaysia (UTM), Skudai, 81310, Johor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UTM Big Data Centre, Universiti Teknologi Malaysia (UTM), Skudai, 81310, Johor, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5031448944"],"corresponding_institution_ids":["https://openalex.org/I4576418"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"382","last_page":"389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9965999722480774,"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/T10320","display_name":"Neural Networks and Applications","score":0.9965999722480774,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.98089998960495,"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":0.9736999869346619,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8646628856658936},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8192600011825562},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.657684862613678},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5965375900268555},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.5276944637298584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5210316181182861},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4922401010990143},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4228828251361847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06914675235748291}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8646628856658936},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8192600011825562},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.657684862613678},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5965375900268555},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.5276944637298584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5210316181182861},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4922401010990143},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4228828251361847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06914675235748291},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-25393-0_42","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25393-0_42","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-25393-0_42","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25393-0_42","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W35739717","https://openalex.org/W161148676","https://openalex.org/W253558180","https://openalex.org/W783341876","https://openalex.org/W1483428028","https://openalex.org/W1501500081","https://openalex.org/W1511526521","https://openalex.org/W1972791019","https://openalex.org/W1987927386","https://openalex.org/W2011430131","https://openalex.org/W2019598563","https://openalex.org/W2098041681","https://openalex.org/W2127218421","https://openalex.org/W2132819818","https://openalex.org/W2142827986","https://openalex.org/W2158817850","https://openalex.org/W2186548499","https://openalex.org/W2497532187","https://openalex.org/W2569813014","https://openalex.org/W4205482704","https://openalex.org/W4232535768","https://openalex.org/W4285719527","https://openalex.org/W6635161993"],"related_works":["https://openalex.org/W2390267673","https://openalex.org/W2120258591","https://openalex.org/W2378227553","https://openalex.org/W1584028106","https://openalex.org/W2113424041","https://openalex.org/W2385548616","https://openalex.org/W4313193953","https://openalex.org/W2967215460","https://openalex.org/W2802880928","https://openalex.org/W1789480965"],"abstract_inverted_index":{"In":[0],"this":[1,62],"paper,":[2],"a":[3],"novel":[4],"K-means":[5,18],"evolving":[6],"spiking":[7],"neural":[8],"network":[9],"(K-ESNN)":[10],"model":[11,29,97],"for":[12,57],"clustering":[13,75,99],"problems":[14],"has":[15,19,65],"been":[16,20,66],"presented.":[17],"utilised":[21],"to":[22,41,82,90],"improve":[23],"the":[24,31,34,43,59,69,83,92,95],"original":[25],"ESNN":[26,35],"model.":[27,63],"This":[28],"enhances":[30],"flexibility":[32],"of":[33,45,61,94],"algorithm":[36],"in":[37,74,98],"producing":[38],"better":[39],"solutions":[40],"overcoming":[42],"disadvantages":[44],"K-means.":[46,85],"Several":[47],"standard":[48,84],"data":[49],"sets":[50],"from":[51],"UCI":[52],"machine":[53],"learning":[54],"are":[55],"used":[56],"evaluating":[58],"performance":[60,79],"It":[64],"found":[67],"that":[68],"K-ESNN":[70],"provides":[71],"competitive":[72],"results":[73],"accuracy":[76],"and":[77],"speed":[78],"measures":[80],"compared":[81],"More":[86],"discussion":[87],"is":[88],"provided":[89],"prove":[91],"effectiveness":[93],"new":[96],"problems.":[100]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
