{"id":"https://openalex.org/W2248773803","doi":"https://doi.org/10.1109/fskd.2015.7382195","title":"Semi-supervised clustering with associative-link constraints for 3D models","display_name":"Semi-supervised clustering with associative-link constraints for 3D models","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2248773803","doi":"https://doi.org/10.1109/fskd.2015.7382195","mag":"2248773803"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2015.7382195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5101430628","display_name":"Shaohong Zhang","orcid":"https://orcid.org/0000-0003-1841-2348"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaohong Zhang","raw_affiliation_strings":["Department of Computer Science, Guangzhou University, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Guangzhou University, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378495","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-3567-5281"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Guangzhou Library, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Library, Guangzhou, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102816871","display_name":"Xiaoqiang Wu","orcid":"https://orcid.org/0009-0000-6851-0080"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoqiang Wu","raw_affiliation_strings":["Guangdong Electronics Industry Institute, Dongguan, P. R. China"],"affiliations":[{"raw_affiliation_string":"Guangdong Electronics Industry Institute, Dongguan, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075523533","display_name":"Baoying Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoying Zeng","raw_affiliation_strings":["Department of Computer Science, Guangzhou University, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Guangzhou University, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045475123","display_name":"Wenxiao Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxiao Qiu","raw_affiliation_strings":["Department of Computer Science, Guangzhou University, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Guangzhou University, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088488171","display_name":"Dongqing Xie","orcid":"https://orcid.org/0000-0003-2084-3075"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongqing Xie","raw_affiliation_strings":["Department of Computer Science, Guangzhou University, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Guangzhou University, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101430628"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10800439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"1665","last_page":"1669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973000288009644,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9925000071525574,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8574140071868896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8018991947174072},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6837140321731567},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.5810208320617676},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5237025022506714},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.5209154486656189},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4936162233352661},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4810214638710022},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4690718352794647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43603166937828064},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.42598670721054077},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4120349586009979},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.373653769493103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09542307257652283}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8574140071868896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8018991947174072},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6837140321731567},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.5810208320617676},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5237025022506714},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.5209154486656189},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4936162233352661},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4810214638710022},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4690718352794647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43603166937828064},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.42598670721054077},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4120349586009979},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.373653769493103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09542307257652283},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2015.7382195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1972839404","https://openalex.org/W2049692646","https://openalex.org/W2096100960","https://openalex.org/W2109624221","https://openalex.org/W2112781969","https://openalex.org/W2117154949","https://openalex.org/W2134089414","https://openalex.org/W2140095548","https://openalex.org/W2152055456","https://openalex.org/W2153839362","https://openalex.org/W2159583439","https://openalex.org/W2168204976","https://openalex.org/W6677328822","https://openalex.org/W6679849079"],"related_works":["https://openalex.org/W3146523624","https://openalex.org/W2160785859","https://openalex.org/W1525022337","https://openalex.org/W2186905933","https://openalex.org/W3140018618","https://openalex.org/W2171583777","https://openalex.org/W2555816786","https://openalex.org/W2407786351","https://openalex.org/W3011266291","https://openalex.org/W2390610678"],"abstract_inverted_index":{"3D":[0,60,102],"model":[1,61],"retrieval":[2],"and":[3,18,26,49,78,113],"classification":[4],"is":[5,21],"one":[6],"of":[7,15,33,89,106],"the":[8,13,54,69,74,79,92,110],"most":[9],"important":[10],"topics":[11],"in":[12,57],"areas":[14],"computer":[16],"graphics":[17],"multimedia.":[19],"Clustering":[20],"widely":[22],"used":[23],"to":[24,27,52],"organize":[25],"index":[28],"multimedia":[29],"databases.":[30],"However,":[31],"few":[32],"previous":[34],"works":[35],"consider":[36],"semi-supervised":[37,46,116],"approaches.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"propose":[43],"a":[44,86],"new":[45,87],"clustering":[47,55,117],"algorithm":[48,65,108],"apply":[50],"it":[51],"perform":[53],"task":[56],"three":[58,100],"public":[59,101],"datasets.":[62],"The":[63],"proposed":[64],"not":[66],"only":[67],"utilizes":[68],"conventional":[70],"pairwise":[71],"constraints,":[72],"including":[73],"Must-link":[75],"constraint":[76,81,94],"(ML)":[77],"Cannot-link":[80],"(CL),":[82],"but":[83],"also":[84],"designs":[85],"kind":[88],"constraints":[90],"called":[91],"associative-link":[93],"(AL).":[95],"Experiments":[96],"on":[97],"datasets":[98],"from":[99],"databases":[103],"demonstrate":[104],"advantages":[105],"our":[107],"beyond":[109],"standard":[111],"Kmeans":[112],"two":[114],"state-of-the-art":[115],"algorithms.":[118]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}