{"id":"https://openalex.org/W1992925417","doi":"https://doi.org/10.4304/jsw.8.4.1035-1041","title":"A Novel Clustering Algorithm Based on Graph Matching","display_name":"A Novel Clustering Algorithm Based on Graph Matching","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W1992925417","doi":"https://doi.org/10.4304/jsw.8.4.1035-1041","mag":"1992925417"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.8.4.1035-1041","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.8.4.1035-1041","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","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/A5012544249","display_name":"Guoyuan Lin","orcid":"https://orcid.org/0000-0003-1293-0718"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guoyuan Lin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073174490","display_name":"Bie Yu-yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuyu Bie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642258","display_name":"Guohui Wang","orcid":"https://orcid.org/0000-0002-3176-317X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guohui Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108606815","display_name":"Min Lei","orcid":"https://orcid.org/0000-0002-3582-8823"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min Lei","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012544249"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2768,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78833314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"8","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9959999918937683,"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":0.8243945837020874},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7450200915336609},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5198616981506348},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5189744830131531},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.5094795823097229},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4948422312736511},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47137129306793213},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47093501687049866},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.44115757942199707},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.43578943610191345},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4348015785217285},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.41927987337112427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4047424793243408},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2881782650947571},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11959606409072876}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8243945837020874},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7450200915336609},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5198616981506348},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5189744830131531},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.5094795823097229},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4948422312736511},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47137129306793213},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47093501687049866},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.44115757942199707},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.43578943610191345},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4348015785217285},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.41927987337112427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4047424793243408},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2881782650947571},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11959606409072876},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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:10.4304/jsw.8.4.1035-1041","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.8.4.1035-1041","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","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":20,"referenced_works":["https://openalex.org/W1492327544","https://openalex.org/W1570834090","https://openalex.org/W1986616689","https://openalex.org/W2011316522","https://openalex.org/W2013017122","https://openalex.org/W2025268549","https://openalex.org/W2030724586","https://openalex.org/W2034331023","https://openalex.org/W2036669170","https://openalex.org/W2075900721","https://openalex.org/W2089458547","https://openalex.org/W2100358233","https://openalex.org/W2106435568","https://openalex.org/W2109682749","https://openalex.org/W2140190241","https://openalex.org/W2141666516","https://openalex.org/W2171203510","https://openalex.org/W6656618852","https://openalex.org/W6675022688","https://openalex.org/W6684914430"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W3144143113","https://openalex.org/W4306940721","https://openalex.org/W3022637481","https://openalex.org/W2160785859","https://openalex.org/W2892323093","https://openalex.org/W4301002638","https://openalex.org/W2491448268","https://openalex.org/W3120229345","https://openalex.org/W2374506950"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"improving":[2],"current":[3],"clustering":[4,19,91],"algorithms":[5],"for":[6,49],"their":[7],"failure":[8],"to":[9],"effectively":[10],"represent":[11],"high-dimensional":[12],"data,":[13],"this":[14,72,97],"paper":[15],"provides":[16],"a":[17],"novel":[18],"algorithm-GMC-based":[20],"on":[21],"graph":[22,33,36],"matching":[23,37],"with":[24,54,63,77,87],"data":[25,108],"objects":[26],"being":[27,39],"represented":[28],"as":[29],"the":[30,35,40,46,61,64,88],"attributed":[31],"relational":[32],"and":[34,58,69,93,103],"degree":[38],"standard":[41],"of":[42,71,80,107],"similarity":[43],"measurement.":[44],"In":[45,84],"algorithm,":[47,96],"graphs":[48],"classification":[50],"will":[51],"be":[52],"matched":[53],"character":[55,81],"pattern":[56,82],"atlas,":[57],"classified":[59],"into":[60],"class":[62],"biggest":[65],"similarity.":[66],"The":[67],"accuracy":[68],"rationality":[70],"algorithm":[73,92,98],"is":[74],"always":[75],"kept":[76],"continuous":[78],"renewal":[79],"atlas.":[83],"addition,":[85],"compared":[86],"classical":[89],"K-means":[90],"Newman":[94],"fast":[95],"shows":[99],"its":[100],"own":[101],"superiority":[102],"feasibility":[104],"in":[105],"applications":[106],"mining.":[109]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
