{"id":"https://openalex.org/W1935651339","doi":"https://doi.org/10.1109/tkde.2015.2441692","title":"Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves","display_name":"Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves","publication_year":2015,"publication_date":"2015-06-04","ids":{"openalex":"https://openalex.org/W1935651339","doi":"https://doi.org/10.1109/tkde.2015.2441692","mag":"1935651339"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2015.2441692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2441692","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5102331774","display_name":"Chun-Guo Li","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-Guo Li","raw_affiliation_strings":["College of Mathematics and Information Science, Hebei University, 180 Wusi East Road, Baoding, Hebei, P.R. China","National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, 95 ZhongGuanCun East Road, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Information Science, Hebei University, 180 Wusi East Road, Baoding, Hebei, P.R. China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, 95 ZhongGuanCun East Road, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003020003","display_name":"Xing Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Mei","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 ZhongGuanCun East Road, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 ZhongGuanCun East Road, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019329695","display_name":"Bao-Gang Hu","orcid":"https://orcid.org/0000-0002-6916-5394"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao-Gang Hu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 ZhongGuanCun East Road, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 ZhongGuanCun East Road, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1618,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.92818643,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"27","issue":"12","first_page":"3404","last_page":"3416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9957000017166138,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9957000017166138,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11106","display_name":"Data Management and Algorithms","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7503297328948975},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6669474840164185},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.5425558090209961},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.49289560317993164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4858078956604004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4516144096851349},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.44648033380508423},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3946700096130371}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503297328948975},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6669474840164185},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.5425558090209961},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.49289560317993164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4858078956604004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4516144096851349},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.44648033380508423},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3946700096130371}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2015.2441692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2441692","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.763.4645","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.763.4645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1402.4542.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1865144911","display_name":"\u57fa\u4e8e\u4f53\u611f\u7684\u65b0\u578b\u4e92\u52a8\u8ba1\u7b97\u7406\u8bba\u3001\u65b9\u6cd5\u4e0e\u5173\u952e\u6280\u672f\u7684\u7814\u7a76\u4e0e\u5e94\u7528","funder_award_id":"61332017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6398121296","display_name":"\u9ad8\u65f6\u7a7a\u5206\u8fa8\u7387\u7684\u52a8\u6001\u5bf9\u8c61\u51e0\u4f55\u4e0e\u8fd0\u52a8\u4fe1\u606f\u83b7\u53d6\u65b9\u6cd5","funder_award_id":"61271430","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G804610071","display_name":null,"funder_award_id":"61273196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326873","display_name":"National Laboratory of Pattern Recognition","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1511254764","https://openalex.org/W1513618424","https://openalex.org/W1547403762","https://openalex.org/W1551207461","https://openalex.org/W1554741491","https://openalex.org/W1585001580","https://openalex.org/W1663973292","https://openalex.org/W1827597743","https://openalex.org/W1958739611","https://openalex.org/W1968634175","https://openalex.org/W1973837973","https://openalex.org/W1980266375","https://openalex.org/W1981745143","https://openalex.org/W1982410540","https://openalex.org/W1985554184","https://openalex.org/W1993005059","https://openalex.org/W1996978148","https://openalex.org/W2002437266","https://openalex.org/W2009086942","https://openalex.org/W2010600508","https://openalex.org/W2011996540","https://openalex.org/W2030755808","https://openalex.org/W2038950446","https://openalex.org/W2040055947","https://openalex.org/W2042383323","https://openalex.org/W2043811860","https://openalex.org/W2051834357","https://openalex.org/W2060494110","https://openalex.org/W2063698478","https://openalex.org/W2066636486","https://openalex.org/W2071309919","https://openalex.org/W2091158010","https://openalex.org/W2100104772","https://openalex.org/W2101626488","https://openalex.org/W2103850933","https://openalex.org/W2108862644","https://openalex.org/W2112524621","https://openalex.org/W2121189958","https://openalex.org/W2125406789","https://openalex.org/W2130405942","https://openalex.org/W2131791003","https://openalex.org/W2132631086","https://openalex.org/W2143331230","https://openalex.org/W2145680575","https://openalex.org/W2149166361","https://openalex.org/W2154316540","https://openalex.org/W2157191463","https://openalex.org/W2296319761","https://openalex.org/W2496343057","https://openalex.org/W2787523326","https://openalex.org/W2988119488","https://openalex.org/W2998216295","https://openalex.org/W4213099427","https://openalex.org/W4234534407","https://openalex.org/W4250589301","https://openalex.org/W4251002338","https://openalex.org/W4251560691","https://openalex.org/W4254594825","https://openalex.org/W4285719527","https://openalex.org/W6674978653","https://openalex.org/W6675337486","https://openalex.org/W6679655593","https://openalex.org/W6681941867","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W2138488530","https://openalex.org/W4385565564","https://openalex.org/W2031468273","https://openalex.org/W2370100764","https://openalex.org/W2387658907","https://openalex.org/W2351112195","https://openalex.org/W4378464883","https://openalex.org/W2898073868","https://openalex.org/W2110822809"],"abstract_inverted_index":{"Unsupervised":[0],"ranking":[1,33,44,71,100,113,127,163,185,202,219],"faces":[2],"one":[3,171],"critical":[4],"challenge":[5],"in":[6,25,52,106,147],"evaluation":[7,53],"applications,":[8],"that":[9],"is,":[10],"no":[11],"ground":[12],"truth":[13],"is":[14,49,135,172,213],"available.":[15],"When":[16],"PageRank":[17],"and":[18,67,74,82,85,108,179,182],"its":[19],"variants":[20],"show":[21,216],"a":[22,112,120,139,151,161],"good":[23],"solution":[24],"related":[26],"objects,":[27],"they":[28],"are":[29,92,194],"applicable":[30],"only":[31],"for":[32,64,98],"from":[34,45],"link-structure":[35],"data.":[36],"In":[37,204],"this":[38],"work,":[39],"we":[40,59,110],"focus":[41],"on":[42,129,196],"unsupervised":[43,70,99,126],"multi-attribute":[46,130],"data":[47],"which":[48,118],"also":[50],"common":[51],"tasks.":[54,101],"To":[55],"overcome":[56],"the":[57,65,104,133,148,156,176,184,190,207,210],"challenge,":[58],"propose":[60,111],"five":[61,157],"essential":[62],"meta-rules":[63,91,158],"design":[66],"assessment":[68],"of":[69,80,87,150,189,200],"approaches:":[72],"scale":[73],"translation":[75],"invariance,":[76],"strict":[77],"monotonicity,":[78],"compatibility":[79],"linearity":[81],"nonlinearity,":[83],"smoothness,":[84],"explicitness":[86],"parameter":[88],"size.":[89],"These":[90],"regarded":[93],"as":[94,168],"high":[95],"level":[96],"knowledge":[97],"Inspired":[102],"by":[103],"works":[105],"[12]":[107],"[35],":[109],"principal":[114],"curve":[115,142],"(RPC)":[116],"model,":[117],"learns":[119],"one-dimensional":[121],"manifold":[122,178],"function":[123],"to":[124,137,159,174,180,215],"perform":[125],"tasks":[128],"observations.":[131],"Furthermore,":[132],"RPC":[134,192],"modeled":[136],"be":[138],"cubic":[140],"Bezier":[141],"with":[143,154,206],"control":[144,166],"points":[145,167],"restricted":[146],"interior":[149],"hypercube,":[152],"complying":[153],"all":[155],"infer":[160],"reasonable":[162,218],"list.":[164],"With":[165],"model":[169,193,212],"parameters,":[170],"able":[173,214],"understand":[175],"learned":[177],"interpret":[181],"visualize":[183],"results.":[186],"Numerical":[187],"experiments":[188],"presented":[191],"conducted":[195],"two":[197],"open":[198],"datasets":[199],"different":[201],"applications.":[203],"comparison":[205],"state-of-the-art":[208],"approaches,":[209],"new":[211],"more":[217],"lists.":[220]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}