{"id":"https://openalex.org/W4226104343","doi":"https://doi.org/10.1145/3507548.3507584","title":"Natural Neighbor Clustering Algorithm without Boundary","display_name":"Natural Neighbor Clustering Algorithm without Boundary","publication_year":2021,"publication_date":"2021-12-04","ids":{"openalex":"https://openalex.org/W4226104343","doi":"https://doi.org/10.1145/3507548.3507584"},"language":"en","primary_location":{"id":"doi:10.1145/3507548.3507584","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3507548.3507584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer Science and Artificial Intelligence","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/A5100388629","display_name":"Lu Zhang","orcid":"https://orcid.org/0000-0002-3469-2899"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Zhang","raw_affiliation_strings":["School of Science, Dalian Maritime University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080037549","display_name":"Yunjie Zhang","orcid":"https://orcid.org/0000-0002-6962-6189"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjie Zhang","raw_affiliation_strings":["School of Science, Dalian Maritime University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418037","display_name":"Yulin Wang","orcid":"https://orcid.org/0000-0002-1363-0234"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Wang","raw_affiliation_strings":["School of Science, Dalian Maritime University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.1399,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59542198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"235","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9947999715805054,"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":0.9947999715805054,"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":0.9890999794006348,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9866999983787537,"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":0.8712337017059326},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.7230660319328308},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.676908016204834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6008124947547913},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5948140025138855},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5912771224975586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5849728584289551},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5701321959495544},{"id":"https://openalex.org/keywords/determining-the-number-of-clusters-in-a-data-set","display_name":"Determining the number of clusters in a data set","score":0.519351601600647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.505999743938446},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.5048554539680481},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.451540470123291},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.4486428201198578},{"id":"https://openalex.org/keywords/nearest-neighbor-chain-algorithm","display_name":"Nearest-neighbor chain algorithm","score":0.4399031400680542},{"id":"https://openalex.org/keywords/complete-linkage-clustering","display_name":"Complete-linkage clustering","score":0.43852102756500244},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4329510033130646},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.41265636682510376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34292471408843994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3197944164276123}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8712337017059326},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.7230660319328308},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.676908016204834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6008124947547913},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5948140025138855},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5912771224975586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5849728584289551},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5701321959495544},{"id":"https://openalex.org/C149872217","wikidata":"https://www.wikidata.org/wiki/Q5265701","display_name":"Determining the number of clusters in a data set","level":5,"score":0.519351601600647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.505999743938446},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.5048554539680481},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.451540470123291},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.4486428201198578},{"id":"https://openalex.org/C102164700","wikidata":"https://www.wikidata.org/wiki/Q17162702","display_name":"Nearest-neighbor chain algorithm","level":5,"score":0.4399031400680542},{"id":"https://openalex.org/C23822008","wikidata":"https://www.wikidata.org/wiki/Q5156437","display_name":"Complete-linkage clustering","level":5,"score":0.43852102756500244},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4329510033130646},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.41265636682510376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34292471408843994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3197944164276123},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3507548.3507584","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3507548.3507584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2086197761","https://openalex.org/W2165835468","https://openalex.org/W2369905169","https://openalex.org/W2568185844","https://openalex.org/W2606751761","https://openalex.org/W2734337707","https://openalex.org/W2938843701","https://openalex.org/W2965822770","https://openalex.org/W3007655669","https://openalex.org/W3035941463","https://openalex.org/W3107266351"],"related_works":["https://openalex.org/W4312865573","https://openalex.org/W2901438737","https://openalex.org/W4289285285","https://openalex.org/W2394193399","https://openalex.org/W3107515989","https://openalex.org/W1548241801","https://openalex.org/W2054669762","https://openalex.org/W2263992973","https://openalex.org/W4220814143","https://openalex.org/W2043825057"],"abstract_inverted_index":{"Most":[0],"density-based":[1],"clustering":[2,20,31,52,99],"algorithms":[3],"are":[4,45,107,118],"only":[5],"suitable":[6],"for":[7],"spherical":[8],"data":[9,14,35,79,114],"set.":[10],"When":[11],"processing":[12],"streamlined":[13,34],"sets":[15],"without":[16],"cluster":[17],"centers,":[18],"the":[19,30,37,59,64,70,78,82,86,91,97,103],"results":[21],"have":[22],"certain":[23],"defects.":[24],"In":[25],"order":[26],"to":[27,84,95],"deal":[28],"with":[29],"problem":[32],"of":[33,39,77,111],"sets,":[36],"concept":[38],"natural":[40,50,60,92],"neighbors":[41],"and":[42,47,73,116],"outlier":[43,75],"detection":[44],"combined,":[46],"a":[48],"boundary-removing":[49],"neighbor":[51,61,93],"(NNC_wbo)":[53],"algorithm":[54],"is":[55],"proposed.":[56],"First,":[57],"establish":[58],"relationship":[62,94],"between":[63],"KD":[65],"tree":[66],"search":[67],"data,":[68],"calculate":[69],"intra-group":[71,74],"density":[72],"degree":[76],"points,":[80,115],"set":[81],"parameters":[83],"remove":[85],"boundary":[87],"data;":[88],"then":[89],"use":[90],"obtain":[96],"preliminary":[98,104],"results;":[100],"if":[101],"after":[102],"clustering,":[105],"There":[106],"small":[108],"clusters":[109],"composed":[110],"very":[112],"few":[113],"outliers":[117],"excluded.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
