{"id":"https://openalex.org/W4399418779","doi":"https://doi.org/10.1145/3651671.3651743","title":"Granular-ball-based Fast Spectral Embedding Clustering Algorithm for Large-Scale Data","display_name":"Granular-ball-based Fast Spectral Embedding Clustering Algorithm for Large-Scale Data","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4399418779","doi":"https://doi.org/10.1145/3651671.3651743"},"language":"en","primary_location":{"id":"doi:10.1145/3651671.3651743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","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/A5043601598","display_name":"Shushu Liu","orcid":"https://orcid.org/0000-0002-7325-8227"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shushu Liu","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-7325-8227","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005710463","display_name":"Dongdong Cheng","orcid":"https://orcid.org/0000-0003-3500-5461"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]},{"id":"https://openalex.org/I32377083","display_name":"Yangtze Normal University","ror":"https://ror.org/05v8v7d33","country_code":"CN","type":"education","lineage":["https://openalex.org/I32377083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Cheng","raw_affiliation_strings":["College of Big Data and Intelligent Engineering, Yangtze Normal University; Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, China","College of Big Data and Intelligent Engineering, Yangtze Normal University"],"raw_orcid":"https://orcid.org/0000-0003-3500-5461","affiliations":[{"raw_affiliation_string":"College of Big Data and Intelligent Engineering, Yangtze Normal University; Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I10535382","https://openalex.org/I32377083"]},{"raw_affiliation_string":"College of Big Data and Intelligent Engineering, Yangtze Normal University","institution_ids":["https://openalex.org/I32377083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027752529","display_name":"Jiang Xie","orcid":"https://orcid.org/0000-0003-0286-3662"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Xie","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0003-0286-3662","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043601598"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.2381,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47912598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9988999962806702,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9965999722480774,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9725000262260437,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7555290460586548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.590201735496521},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5600197911262512},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4884544909000397},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.4833630919456482},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.447905033826828},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.44221067428588867},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.4282873272895813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39335089921951294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3453298807144165},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.32269376516342163},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18859997391700745},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.0790470540523529}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7555290460586548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.590201735496521},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5600197911262512},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4884544909000397},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.4833630919456482},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.447905033826828},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.44221067428588867},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.4282873272895813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39335089921951294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3453298807144165},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.32269376516342163},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18859997391700745},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.0790470540523529}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3651671.3651743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","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":21,"referenced_works":["https://openalex.org/W1772076007","https://openalex.org/W1979089718","https://openalex.org/W2089609272","https://openalex.org/W2107887685","https://openalex.org/W2126337883","https://openalex.org/W2577472518","https://openalex.org/W2785648173","https://openalex.org/W2908436867","https://openalex.org/W2966530783","https://openalex.org/W2976324021","https://openalex.org/W3029713334","https://openalex.org/W3043317456","https://openalex.org/W3120826129","https://openalex.org/W3131971792","https://openalex.org/W3159359277","https://openalex.org/W3197156367","https://openalex.org/W4211194210","https://openalex.org/W4221140034","https://openalex.org/W4313123991","https://openalex.org/W4322576590","https://openalex.org/W4382052823"],"related_works":["https://openalex.org/W3168808485","https://openalex.org/W2584995636","https://openalex.org/W4321153334","https://openalex.org/W4352976663","https://openalex.org/W3017750840","https://openalex.org/W4372272096","https://openalex.org/W2963622251","https://openalex.org/W1498134210","https://openalex.org/W2972477132","https://openalex.org/W2547199139"],"abstract_inverted_index":{"When":[0],"dealing":[1],"with":[2],"large-scale":[3,115],"datasets,":[4],"manifold":[5,32],"learning,":[6],"which":[7],"is":[8],"crucial":[9],"for":[10],"analyzing":[11],"high-dimensional":[12],"data,":[13],"faces":[14],"challenges,":[15],"including":[16],"low":[17],"clustering":[18,53,124],"accuracy":[19],"and":[20,42,66,117],"high":[21],"computational":[22,86],"complexity.":[23,87],"In":[24],"this":[25,111],"paper,":[26],"we":[27,45],"introduce":[28],"granular-ball":[29,41,65],"into":[30],"unsupervised":[31],"learning.":[33],"Based":[34],"on":[35],"the":[36,91,95],"anchor":[37,72],"graph":[38],"generated":[39],"by":[40],"spatial":[43],"information,":[44],"propose":[46],"a":[47,62,75,100],"novel":[48],"granular-ball-based":[49],"fast":[50],"spectral":[51],"embedding":[52],"algorithm,":[54],"named":[55],"GB-FSEC.":[56],"The":[57],"GB-FSEC":[58,98],"algorithm":[59],"first":[60],"employs":[61],"strategy":[63],"combining":[64],"random":[67],"sampling":[68],"to":[69,79,89,108],"generate":[70],"representative":[71],"points,":[73],"constructing":[74],"new":[76],"adjacency":[77],"matrix":[78],"reduce":[80],"data":[81],"dimensionality":[82],"significantly,":[83],"thereby":[84],"lowering":[85],"Moreover,":[88],"avoid":[90],"complexity":[92],"of":[93,123],"adjusting":[94],"kernel":[96],"parameter,":[97],"adopts":[99],"non-parametric":[101],"strategy.":[102],"Experimental":[103],"results":[104],"demonstrate":[105],"that,":[106],"compared":[107],"other":[109],"methods,":[110],"approach":[112],"can":[113],"handle":[114],"datasets":[116],"exhibits":[118],"excellent":[119],"performance":[120],"in":[121],"terms":[122],"accuracy.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}