{"id":"https://openalex.org/W4411745643","doi":"https://doi.org/10.1177/14738716251342965","title":"An effective deep clustering model for feature quantization and representation","display_name":"An effective deep clustering model for feature quantization and representation","publication_year":2025,"publication_date":"2025-06-28","ids":{"openalex":"https://openalex.org/W4411745643","doi":"https://doi.org/10.1177/14738716251342965"},"language":"en","primary_location":{"id":"doi:10.1177/14738716251342965","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14738716251342965","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","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/A5069641769","display_name":"Thi-Anh-Loan Trinh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159515","display_name":"H\u1ed3ng \u0110\u1ee9c University","ror":"https://ror.org/05dp8mg49","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210159515"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thi-Anh-Loan Trinh","raw_affiliation_strings":["Faculty of Engineering, Technology, and Communication, Hong Duc University (HDU), Thanh Hoa City, Vietnam"],"raw_orcid":"https://orcid.org/0009-0008-6384-4741","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Technology, and Communication, Hong Duc University (HDU), Thanh Hoa City, Vietnam","institution_ids":["https://openalex.org/I4210159515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001216799","display_name":"The-Anh Pham","orcid":"https://orcid.org/0000-0002-0674-8066"},"institutions":[{"id":"https://openalex.org/I4210159515","display_name":"H\u1ed3ng \u0110\u1ee9c University","ror":"https://ror.org/05dp8mg49","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210159515"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"The-Anh Pham","raw_affiliation_strings":["Faculty of Engineering, Technology, and Communication, Hong Duc University (HDU), Thanh Hoa City, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-0674-8066","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Technology, and Communication, Hong Duc University (HDU), Thanh Hoa City, Vietnam","institution_ids":["https://openalex.org/I4210159515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001216799"],"corresponding_institution_ids":["https://openalex.org/I4210159515"],"apc_list":null,"apc_paid":null,"fwci":1.1332,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79350695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"24","issue":"3","first_page":"298","last_page":"313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996399998664856,"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":0.8390543460845947},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6702483892440796},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5919015407562256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5853724479675293},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5685222744941711},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.486714631319046},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38826438784599304},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2630276083946228}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8390543460845947},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6702483892440796},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5919015407562256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5853724479675293},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5685222744941711},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.486714631319046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38826438784599304},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2630276083946228},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/14738716251342965","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14738716251342965","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","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":27,"referenced_works":["https://openalex.org/W2053941121","https://openalex.org/W2086504823","https://openalex.org/W2124509324","https://openalex.org/W2128017662","https://openalex.org/W2148554573","https://openalex.org/W2150102617","https://openalex.org/W2151259137","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2520774990","https://openalex.org/W2603986758","https://openalex.org/W2608862709","https://openalex.org/W2730106296","https://openalex.org/W2741943936","https://openalex.org/W2779692282","https://openalex.org/W2889188307","https://openalex.org/W2913341171","https://openalex.org/W2922744096","https://openalex.org/W2962852342","https://openalex.org/W2964074409","https://openalex.org/W3118530108","https://openalex.org/W3197069066","https://openalex.org/W4200352059","https://openalex.org/W4254197176","https://openalex.org/W4312459443","https://openalex.org/W6685380521","https://openalex.org/W6758990916"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254","https://openalex.org/W2942177010"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,78],"deep":[3,13,19],"learning":[4],"have":[5,128,144],"drawn":[6],"significant":[7],"attention":[8],"to":[9,57,68,101,156],"the":[10,59,69,79,83,102,110,116,130,150,158,162],"problem":[11,103],"of":[12,104,112,118,161],"clustering.":[14,42],"This":[15],"paper":[16],"presents":[17],"a":[18,46,93],"neural":[20],"model,":[21],"namely":[22],"SCDC":[23,169],"(Soft-Center":[24],"loss":[25,48,71,89],"for":[26,115,185],"Deep":[27],"Clustering),":[28],"whose":[29],"design":[30],"is":[31,55,65,85,99,170],"based":[32],"on":[33,40,149,177],"an":[34],"autoencoder":[35],"architecture":[36],"that":[37,168],"mainly":[38],"focuses":[39],"data":[41],"To":[43,124],"this":[44],"end,":[45],"novel":[47],"function,":[49],"also":[50],"known":[51],"as":[52],"soft-center":[53],"loss,":[54],"presented":[56,129],"drive":[58],"training":[60],"process.":[61],"The":[62],"new":[63],"objective":[64],"closely":[66],"related":[67],"K-means":[70],"function":[72],"and":[73,90,107,140,153,181],"helps":[74],"promote":[75],"clustering-specific":[76],"features":[77],"representation":[80,108],"space.":[81],"Additionally,":[82],"model":[84,134],"regularized":[86],"using":[87],"reconstruction":[88],"enhanced":[91],"with":[92,109,172],"clustering-oriented":[94],"loss.":[95],"Furthermore,":[96],"our":[97],"investigation":[98],"linked":[100],"feature":[105,138],"quantization":[106],"target":[111],"efficient":[113],"support":[114],"task":[117],"approximated":[119],"nearest":[120],"neighbor":[121],"(ANN)":[122],"search.":[123,187],"achieve":[125],"this,":[126],"we":[127,143],"general":[131],"pipeline,":[132],"including":[133],"training,":[135],"codebook":[136],"generation,":[137],"quantization,":[139],"searching.":[141],"Notably,":[142],"conducted":[145],"extensive":[146],"visual":[147],"analytics":[148],"learned":[151],"representations":[152],"compact":[154],"codebooks":[155],"assess":[157],"discrimination":[159],"capability":[160],"proposed":[163],"model.":[164],"Experimental":[165],"results":[166],"showed":[167],"competitive":[171],"many":[173],"modern":[174],"clustering":[175],"models":[176],"several":[178],"benchmark":[179],"datasets":[180],"delivers":[182],"high-quality":[183],"coding":[184],"ANN":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
