{"id":"https://openalex.org/W2214962993","doi":"https://doi.org/10.1109/bigdata.2015.7363804","title":"Angular quantization based affinity propagation clustering and its application to astronomical big spectra data","display_name":"Angular quantization based affinity propagation clustering and its application to astronomical big spectra data","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2214962993","doi":"https://doi.org/10.1109/bigdata.2015.7363804","mag":"2214962993"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7363804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5100628775","display_name":"Ke Wang","orcid":"https://orcid.org/0000-0002-0797-4655"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ke Wang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, P. R. China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020083340","display_name":"Ping Guo","orcid":"https://orcid.org/0000-0002-7122-1084"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Guo","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, Beijing, CN"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006467926","display_name":"A-Li Luo","orcid":"https://orcid.org/0000-0001-7865-2648"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210164580","display_name":"National Astronomical Observatories","ror":"https://ror.org/058pyyv44","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210164580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"A-Li Luo","raw_affiliation_strings":["Key Laboratory of Optical Astronomy National Astronomical Observatories, Chinese Academy of Sciences, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optical Astronomy National Astronomical Observatories, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210164580","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100628775"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.4314,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77041605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"601","last_page":"608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9907000064849854,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9907000064849854,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9532999992370605,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6925026774406433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.676077127456665},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5808534026145935},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.5353444218635559},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.48938053846359253},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.48825716972351074},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.4879562258720398},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.47502976655960083},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47241368889808655},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.45839062333106995},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.4376707077026367},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41464489698410034},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.41181156039237976},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34836798906326294},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.2496388852596283},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.22161591053009033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19145828485488892},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18793359398841858}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6925026774406433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.676077127456665},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5808534026145935},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.5353444218635559},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.48938053846359253},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.48825716972351074},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.4879562258720398},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.47502976655960083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47241368889808655},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.45839062333106995},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.4376707077026367},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41464489698410034},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.41181156039237976},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34836798906326294},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.2496388852596283},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.22161591053009033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19145828485488892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18793359398841858},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2015.7363804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336283","display_name":"National Astronomical Observatories, Chinese Academy of Sciences","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W172773819","https://openalex.org/W257726663","https://openalex.org/W1618101233","https://openalex.org/W1895591946","https://openalex.org/W1971395348","https://openalex.org/W1975195692","https://openalex.org/W1992419399","https://openalex.org/W2004625705","https://openalex.org/W2017485701","https://openalex.org/W2105572632","https://openalex.org/W2155488926","https://openalex.org/W2155891307","https://openalex.org/W2157917411","https://openalex.org/W2165232124","https://openalex.org/W2166610567","https://openalex.org/W2273477544","https://openalex.org/W2949823946","https://openalex.org/W3120740533","https://openalex.org/W3140819683","https://openalex.org/W6639689668","https://openalex.org/W6676039682","https://openalex.org/W6683030120","https://openalex.org/W6694360602","https://openalex.org/W6763876014"],"related_works":["https://openalex.org/W2992727291","https://openalex.org/W1971395348","https://openalex.org/W2165232124","https://openalex.org/W1990262636","https://openalex.org/W2069747835","https://openalex.org/W2605086803","https://openalex.org/W4297644934","https://openalex.org/W2980768538","https://openalex.org/W2809955885","https://openalex.org/W2759831793"],"abstract_inverted_index":{"Affinity":[0],"Propagation":[1],"(AP)":[2],"algorithm":[3,25],"is":[4,83],"a":[5,10,100],"useful":[6],"clustering":[7],"technique":[8],"with":[9],"lot":[11],"of":[12,55,74,80,102,129],"noteworthy":[13],"advantages.":[14],"It":[15],"has":[16],"been":[17],"successfully":[18],"applied":[19],"in":[20,43,87],"many":[21],"applications.":[22],"However,":[23],"this":[24,48],"does":[26],"not":[27],"scale":[28,31],"for":[29],"large":[30],"data":[32,57,85,97,108,124],"sets":[33],"because":[34],"it":[35],"requires":[36],"quadratic":[37],"computational":[38,69],"time":[39],"and":[40,59,63,71,91,118,133],"memory":[41,72],"usage":[42,73],"the":[44,53,68,94,119,127],"problem":[45],"size.":[46],"In":[47],"paper,":[49],"we":[50],"concentrate":[51],"on":[52],"needs":[54],"big":[56,96],"analytics":[58],"propose":[60],"an":[61],"effective":[62],"efficient":[64],"scheme":[65],"to":[66,111],"decrease":[67],"complexity":[70],"AP":[75],"algorithm.":[76],"The":[77,115],"basic":[78],"idea":[79],"our":[81,130],"approach":[82,131],"embedding":[84],"points":[86,109],"distance-preserving":[88],"binary":[89,113],"codes":[90],"then":[92],"decomposing":[93],"original":[95],"set":[98],"into":[99],"series":[101],"small":[103],"subsets":[104],"by":[105],"aggregating":[106],"similar":[107],"according":[110],"their":[112],"codes.":[114],"experimental":[116],"results":[117],"real":[120],"world":[121],"astronomical":[122],"spectral":[123],"application":[125],"demonstrate":[126],"effectiveness":[128],"quantitatively":[132],"visually.":[134]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
