乐胖代购免代理版

{"id":"https://openalex.org/W1855110042","doi":"https://doi.org/10.1007/978-3-662-44845-8_2","title":"Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density","display_name":"Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1855110042","doi":"https://doi.org/10.1007/978-3-662-44845-8_2","mag":"1855110042"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-662-44845-8_2","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_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"book-chapter","type_crossref":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-662-44845-8_2","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047718379","display_name":"Hiroaki Sasaki","orcid":"https://orcid.org/0000-0001-9897-8557"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"funder","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Sasaki","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061498233","display_name":"Aapo Hyv\u00e4rinen","orcid":"https://orcid.org/0000-0002-5806-4432"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"funder","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Aapo Hyv\u00e4rinen","raw_affiliation_strings":["Department of Computer Science and HIIT, University of Helsinki, Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and HIIT, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072744508","display_name":"Masashi Sugiyama","orcid":"https://orcid.org/0000-0001-6658-6743"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"funder","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Sugiyama","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":3.614,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":25,"citation_normalized_percentile":{"value":0.954054,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":92,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"34"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9921,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9921,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9896,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9829,"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/mean-shift","display_name":"Mean-shift","score":0.8871558},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.7641667},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.7599144},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4660887},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.44382665}],"concepts":[{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.8871558},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8255485},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.7641667},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.7599144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5260249},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4868521},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4660887},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.44382665},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42444858},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37721106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28534436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24084485},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23141843},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.078908384},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06478223},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-662-44845-8_2","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_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-662-44845-8_2","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_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":28,"referenced_works":["https://openalex.org/W1505878979","https://openalex.org/W1965555277","https://openalex.org/W2022686119","https://openalex.org/W2033468335","https://openalex.org/W2048239613","https://openalex.org/W2051144468","https://openalex.org/W2067191022","https://openalex.org/W2086619942","https://openalex.org/W2101744728","https://openalex.org/W2110116545","https://openalex.org/W2110158442","https://openalex.org/W2114677896","https://openalex.org/W2117890631","https://openalex.org/W2119862467","https://openalex.org/W2121947440","https://openalex.org/W2127218421","https://openalex.org/W2133958955","https://openalex.org/W2135046866","https://openalex.org/W2136277000","https://openalex.org/W2137420707","https://openalex.org/W2141240481","https://openalex.org/W2143104527","https://openalex.org/W2155183960","https://openalex.org/W2159128898","https://openalex.org/W2164500538","https://openalex.org/W2165874743","https://openalex.org/W2963993553","https://openalex.org/W4235169531"],"related_works":["https://openalex.org/W4311428604","https://openalex.org/W4240479520","https://openalex.org/W35193756","https://openalex.org/W3123419490","https://openalex.org/W2977337932","https://openalex.org/W2949548704","https://openalex.org/W2583877436","https://openalex.org/W2144201579","https://openalex.org/W1855110042","https://openalex.org/W1482149696"],"abstract_inverted_index":{"Mean":[0],"shift":[1,35,52,171],"clustering":[2,40,165],"finds":[3],"the":[4,7,13,17,27,33,50,57,82,103,106,117,135,138,144,153,163,169],"modes":[5,136],"of":[6,16,29,49,81,105,137,155],"data":[8],"probability":[9],"density":[10,18,58,61,72,83,111,139],"by":[11,59],"identifying":[12],"zero":[14],"points":[15],"gradient.":[19,67],"Since":[20],"it":[21],"does":[22,74,148],"not":[23,75,91,149],"require":[24],"to":[25,54,100,133,151],"fix":[26],"number":[28,154],"clusters":[30,156],"in":[31,42,143,157],"advance,":[32],"mean":[34,51,145,170],"has":[36],"been":[37],"a":[38,70,98,129],"popular":[39],"algorithm":[41,132],"various":[43],"application":[44],"fields.":[45],"A":[46],"typical":[47],"implementation":[48],"is":[53,90,123],"first":[55],"estimate":[56,102],"kernel":[60],"estimation":[62,73,80],"and":[63,121],"then":[64,127],"compute":[65],"its":[66],"However,":[68],"since":[69],"good":[71],"necessarily":[76],"imply":[77],"an":[78,86],"accurate":[79],"gradient,":[84],"such":[85],"indirect":[87],"two-step":[88],"approach":[89],"reliable.":[92],"In":[93],"this":[94],"paper,":[95],"we":[96],"propose":[97],"method":[99,115,166],"directly":[101],"gradient":[104],"log-density":[107],"without":[108],"going":[109],"through":[110],"estimation.":[112],"The":[113],"proposed":[114,164],"gives":[116],"global":[118],"solution":[119],"analytically":[120],"thus":[122],"computationally":[124],"efficient.":[125],"We":[126,159],"develop":[128],"mean-shift-like":[130],"fixed-point":[131],"find":[134],"for":[140,173],"clustering.":[141],"As":[142],"shift,":[146],"one":[147],"need":[150],"set":[152],"advance.":[158],"experimentally":[160],"show":[161],"that":[162],"significantly":[167],"outperforms":[168],"especially":[172],"high-dimensional":[174],"data.":[175]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1855110042","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-04-16T08:13:57.259800","created_date":"2016-06-24"}