{"id":"https://openalex.org/W4402423780","doi":"https://doi.org/10.1007/s11063-024-11684-z","title":"A Clustering Pruning Method Based on Multidimensional Channel Information","display_name":"A Clustering Pruning Method Based on Multidimensional Channel Information","publication_year":2024,"publication_date":"2024-09-10","ids":{"openalex":"https://openalex.org/W4402423780","doi":"https://doi.org/10.1007/s11063-024-11684-z"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-024-11684-z","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11063-024-11684-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11684-z.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11684-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089664304","display_name":"Chuanmeng Sun","orcid":"https://orcid.org/0000-0002-1972-0943"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sun Chuanmeng","raw_affiliation_strings":["School of Electrical and Control Engineering, North University of China, Taiyuan, 030051, Shanxi, China","State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan, 030051, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, North University of China, Taiyuan, 030051, Shanxi, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan, 030051, Shanxi, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen Jiaxin","orcid":null},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Jiaxin","raw_affiliation_strings":["School of Electrical and Control Engineering, North University of China, Taiyuan, 030051, Shanxi, China","State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan, 030051, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, North University of China, Taiyuan, 030051, Shanxi, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan, 030051, Shanxi, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023950344","display_name":"Zhibo Wu","orcid":"https://orcid.org/0000-0002-2195-2292"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Zhibo","raw_affiliation_strings":["School of Electrical and Control Engineering, North University of China, Taiyuan, 030051, Shanxi, China","State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan, 030051, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, North University of China, Taiyuan, 030051, Shanxi, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan, 030051, Shanxi, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355455","display_name":"Yong Li","orcid":"https://orcid.org/0000-0003-1584-1622"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yong","raw_affiliation_strings":["State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing, 400044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing, 400044, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053263999","display_name":"Tiehua Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ma Tiehua","raw_affiliation_strings":["School of Electrical and Control Engineering, North University of China, Taiyuan, 030051, Shanxi, China","State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan, 030051, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, North University of China, Taiyuan, 030051, Shanxi, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan, 030051, Shanxi, China","institution_ids":["https://openalex.org/I135714990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089664304"],"corresponding_institution_ids":["https://openalex.org/I135714990"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13620944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"56","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9962999820709229,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9962999820709229,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9854999780654907,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9843000173568726,"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/computational-intelligence","display_name":"Computational intelligence","score":0.7568496465682983},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7325547933578491},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7128810882568359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5695604085922241},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5259932279586792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48843684792518616},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47982144355773926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4594380259513855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.348816454410553}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.7568496465682983},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7325547933578491},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7128810882568359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5695604085922241},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5259932279586792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48843684792518616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47982144355773926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4594380259513855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.348816454410553},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-024-11684-z","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11063-024-11684-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11684-z.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-024-11684-z","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11063-024-11684-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11684-z.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5668883484","display_name":null,"funder_award_id":"2022YFC2905700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8388772907","display_name":null,"funder_award_id":"2022YFB3205800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402423780.pdf","grobid_xml":"https://content.openalex.org/works/W4402423780.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2097117768","https://openalex.org/W2126105956","https://openalex.org/W2194775991","https://openalex.org/W2734271713","https://openalex.org/W2748428003","https://openalex.org/W2766839578","https://openalex.org/W2793035069","https://openalex.org/W2894740066","https://openalex.org/W2894994475","https://openalex.org/W2896409484","https://openalex.org/W2924888702","https://openalex.org/W2945403477","https://openalex.org/W2951153470","https://openalex.org/W2951868790","https://openalex.org/W2951977814","https://openalex.org/W2952020226","https://openalex.org/W2953797043","https://openalex.org/W2962835968","https://openalex.org/W2963223345","https://openalex.org/W2964266063","https://openalex.org/W2972343638","https://openalex.org/W3001194179","https://openalex.org/W3014641619","https://openalex.org/W3034513523","https://openalex.org/W3089652672","https://openalex.org/W3094522247","https://openalex.org/W3136450870","https://openalex.org/W3144163513","https://openalex.org/W3168076195","https://openalex.org/W3169823324","https://openalex.org/W3184164445","https://openalex.org/W3191447923","https://openalex.org/W4200341551","https://openalex.org/W4213080446","https://openalex.org/W4226060263","https://openalex.org/W4226186063","https://openalex.org/W4287777801","https://openalex.org/W4288089799","https://openalex.org/W4288335579","https://openalex.org/W4289313596","https://openalex.org/W4297208187","https://openalex.org/W4316038230","https://openalex.org/W4353046995","https://openalex.org/W4372200184","https://openalex.org/W4381480682","https://openalex.org/W4389248110","https://openalex.org/W4392303516","https://openalex.org/W6910602071"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W2355171581","https://openalex.org/W2145253956","https://openalex.org/W1212596013"],"abstract_inverted_index":{"Pruning":[0],"convolutional":[1,44,59,113,140],"neural":[2],"networks":[3],"offers":[4],"a":[5,99,167,205,214],"promising":[6],"solution":[7],"to":[8,31,104,131],"mitigate":[9],"the":[10,38,49,54,73,77,80,88,92,96,106,133,153,190,198,201],"computational":[11],"complexity":[12],"challenges":[13],"encountered":[14],"during":[15],"application":[16],"deployment.":[17],"However,":[18],"prevalent":[19],"pruning":[20,34],"techniques":[21],"primarily":[22],"concentrate":[23],"on":[24,183,197],"model":[25,177,203],"parameters":[26],"or":[27],"feature":[28,40,55,121],"mapping":[29],"analysis":[30],"devise":[32],"static":[33],"strategies,":[35],"often":[36],"overlooking":[37],"underlying":[39],"extraction":[41,56,122],"capacity":[42],"of":[43,58,76,95,135,155,170,192,220],"kernels.":[45],"To":[46],"address":[47],"this,":[48],"study":[50],"first":[51],"quantitatively":[52],"expresses":[53],"capability":[57],"channels":[60,114,171],"from":[61,87],"three":[62,184],"aspects:":[63],"global":[64],"features,":[65],"distribution":[66],"metrics,":[67],"and":[68,84],"directional":[69],"metrics.":[70],"It":[71],"explores":[72],"multi-dimensional":[74],"information":[75],"channels,":[78],"calculates":[79],"overall":[81],"expectation,":[82],"variance,":[83],"cosine":[85],"distance":[86],"unit":[89],"vector":[90],"as":[91],"quantitative":[93],"results":[94],"channels.":[97],"Subsequently,":[98],"clustering":[100,136],"algorithm":[101,128],"is":[102,129],"employed":[103],"categorize":[105],"multidimensional":[107],"information.":[108],"This":[109,165],"approach":[110],"ensures":[111],"that":[112,172],"grouped":[115],"within":[116,161],"each":[117,159],"cluster":[118],"possess":[119],"similar":[120],"capabilities.":[123],"An":[124],"enhanced":[125],"differential":[126],"evolutionary":[127],"utilized":[130],"optimize":[132],"number":[134],"centers":[137],"across":[138],"all":[139],"layers,":[141],"ensuring":[142],"optimal":[143],"grouping.":[144],"The":[145],"final":[146],"step":[147],"involves":[148],"achieving":[149],"channel":[150],"sparsification":[151],"through":[152],"calculation":[154],"crowding":[156],"distances":[157],"for":[158,175],"sample":[160],"its":[162],"designated":[163],"cluster.":[164],"preserves":[166],"diverse":[168],"subset":[169],"are":[173],"critical":[174],"maintaining":[176],"accuracy.":[178],"Extensive":[179],"empirical":[180],"evaluations":[181],"conducted":[182],"benchmark":[185],"image":[186],"classification":[187],"datasets":[188],"demonstrate":[189],"efficacy":[191],"this":[193],"method.":[194],"For":[195],"instance,":[196],"ImageNet":[199],"dataset,":[200],"ResNet-50":[202],"experiences":[204],"substantial":[206],"reduction":[207],"in":[208,217],"FLOPs":[209],"by":[210],"58.43%":[211],"while":[212],"incurring":[213],"minimal":[215],"decrease":[216],"TOP-1":[218],"accuracy":[219],"only":[221],"1.15%.":[222]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
