{"id":"https://openalex.org/W2341537082","doi":"https://doi.org/10.4018/ijoci.2016040104","title":"Swarm Intelligence Methods for Unsupervised Images Classification","display_name":"Swarm Intelligence Methods for Unsupervised Images Classification","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2341537082","doi":"https://doi.org/10.4018/ijoci.2016040104","mag":"2341537082"},"language":"en","primary_location":{"id":"doi:10.4018/ijoci.2016040104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijoci.2016040104","pdf_url":null,"source":{"id":"https://openalex.org/S199269040","display_name":"International Journal of Organizational and Collective Intelligence","issn_l":"1947-9344","issn":["1947-9344","1947-9352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Organizational and Collective Intelligence","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/A5074447861","display_name":"Hadj Ahmed Bouarara","orcid":"https://orcid.org/0000-0002-4973-4385"},"institutions":[{"id":"https://openalex.org/I4210148060","display_name":"Universit\u00e9 de Saida Dr.Moulay Tahar","ror":"https://ror.org/03mwqca46","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210148060"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Hadj Ahmed Bouarara","raw_affiliation_strings":["Department of Computer Science, Dr. Tahar Moulay University of Saida, Saida, Algeria"],"raw_orcid":"https://orcid.org/0000-0002-4973-4385","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Dr. Tahar Moulay University of Saida, Saida, Algeria","institution_ids":["https://openalex.org/I4210148060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004608302","display_name":"Yasmin Bouarara","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148060","display_name":"Universit\u00e9 de Saida Dr.Moulay Tahar","ror":"https://ror.org/03mwqca46","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210148060"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Yasmin Bouarara","raw_affiliation_strings":["Department of Computer Science, Dr. Tahar Moulay University of Saida, Saida, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Dr. Tahar Moulay University of Saida, Saida, Algeria","institution_ids":["https://openalex.org/I4210148060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074447861"],"corresponding_institution_ids":["https://openalex.org/I4210148060"],"apc_list":null,"apc_paid":null,"fwci":0.3499,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62959279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":"2","first_page":"50","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9912999868392944,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9564999938011169,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7679927945137024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.684701681137085},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6218631863594055},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.6071942448616028},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5556840896606445},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5470876693725586},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.543037474155426},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49867892265319824},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.48938602209091187},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.452913761138916},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.44949978590011597},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43909990787506104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3731933832168579},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36019623279571533},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.1382978856563568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7679927945137024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.684701681137085},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6218631863594055},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.6071942448616028},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5556840896606445},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5470876693725586},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.543037474155426},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49867892265319824},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48938602209091187},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.452913761138916},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.44949978590011597},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43909990787506104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3731933832168579},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36019623279571533},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.1382978856563568},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijoci.2016040104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijoci.2016040104","pdf_url":null,"source":{"id":"https://openalex.org/S199269040","display_name":"International Journal of Organizational and Collective Intelligence","issn_l":"1947-9344","issn":["1947-9344","1947-9352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Organizational and Collective Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6200000047683716,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W63496987","https://openalex.org/W260179415","https://openalex.org/W657371042","https://openalex.org/W959945817","https://openalex.org/W1168306351","https://openalex.org/W1201108321","https://openalex.org/W1461382207","https://openalex.org/W1524967296","https://openalex.org/W1560091199","https://openalex.org/W1585002319","https://openalex.org/W1839472719","https://openalex.org/W1970351663","https://openalex.org/W1992419399","https://openalex.org/W1996638368","https://openalex.org/W1997547316","https://openalex.org/W1999075329","https://openalex.org/W2012633254","https://openalex.org/W2030815908","https://openalex.org/W2048657697","https://openalex.org/W2083789506","https://openalex.org/W2127218421","https://openalex.org/W2134158406","https://openalex.org/W2138826255","https://openalex.org/W2152840160","https://openalex.org/W2156407494","https://openalex.org/W2166934457","https://openalex.org/W2230677140","https://openalex.org/W2275132005","https://openalex.org/W2340852031","https://openalex.org/W2495706991"],"related_works":["https://openalex.org/W4308079021","https://openalex.org/W1527337688","https://openalex.org/W2399799070","https://openalex.org/W2048054807","https://openalex.org/W2746377055","https://openalex.org/W4386001959","https://openalex.org/W2594296178","https://openalex.org/W4304182880","https://openalex.org/W3089846858","https://openalex.org/W2159541481"],"abstract_inverted_index":{"Nowadays,":[0],"Google":[1],"estimates":[2],"that":[3],"more":[4],"than":[5],"1000":[6],"billion":[7],"the":[8,13,16,28,38,48,55,102,122,126,131,140,145,153],"number":[9],"of":[10,18,21,40,44,50,81,84,104,128],"images":[11],"on":[12,101,121],"internet":[14],"where":[15,106],"classification":[17,58],"this":[19],"type":[20],"data":[22],"represents":[23],"a":[24,68,79,92],"big":[25],"problem":[26,60],"in":[27,72],"scientific":[29],"community.":[30],"Several":[31],"techniques":[32],"have":[33],"been":[34],"proposed":[35],"belonging":[36],"to":[37,74],"world":[39],"image-mining.":[41],"The":[42],"substance":[43],"our":[45],"work":[46],"is":[47],"application":[49],"swarm":[51],"intelligence":[52],"methods":[53],"for":[54,150],"unsupervised":[56],"image":[57,64,77,86,108],"(UIC)":[59],"following":[61],"four":[62],"steps:":[63],"digitalization":[65],"by":[66,95],"developing":[67],"new":[69],"representation":[70],"approach":[71],"order":[73],"transform":[75],"each":[76,107,151],"into":[78],"set":[80],"term":[82],"(set":[83],"pixels);":[85],"clustering":[87],"using":[88],"three":[89,112],"methods:":[90],"firstly":[91],"distances":[93],"combination":[94],"social":[96,116],"worker":[97],"bees":[98],"(DC-SWBs)":[99],"based":[100,120],"principle":[103,127],"filtering":[105],"must":[109],"successfully":[110],"pass":[111],"filters,":[113],"secondly":[114],"Artificial":[115],"spiders":[117],"(ASS)":[118],"method":[119,133],"silky":[123],"structure":[124],"and":[125,130,159],"weaving":[129],"third":[132],"called":[134],"artificial":[135],"immune":[136],"system":[137],"(AIS);":[138],"For":[139],"authors'":[141],"experiment":[142],"they":[143],"use":[144],"benchmark":[146],"MuHavi":[147],"with":[148],"changing":[149],"test":[152],"configuration":[154],"(image":[155],"representation,":[156],"distance":[157],"measures":[158],"threshold).":[160]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
