{"id":"https://openalex.org/W2045537136","doi":"https://doi.org/10.1016/0167-8655(94)90041-8","title":"A new non-iterative approach for clustering","display_name":"A new non-iterative approach for clustering","publication_year":1994,"publication_date":"1994-02-01","ids":{"openalex":"https://openalex.org/W2045537136","doi":"https://doi.org/10.1016/0167-8655(94)90041-8","mag":"2045537136"},"language":"en","primary_location":{"id":"doi:10.1016/0167-8655(94)90041-8","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0167-8655(94)90041-8","pdf_url":null,"source":{"id":"https://openalex.org/S151820558","display_name":"Pattern Recognition Letters","issn_l":"0167-8655","issn":["0167-8655","1872-7344"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition Letters","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/A5015808197","display_name":"Peng-Yeng Yin","orcid":"https://orcid.org/0000-0002-2835-9002"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Peng-Yeng Yin","raw_affiliation_strings":["Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan 30050, ROC","Dept. of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan, 30050, ROC"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan 30050, ROC","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Dept. of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan, 30050, ROC","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002645149","display_name":"Ling\u2010Hwei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ling-Hwei Chen","raw_affiliation_strings":["Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan 30050, ROC","Dept. of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan, 30050, ROC"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan 30050, ROC","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Dept. of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan, 30050, ROC","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002645149"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":null,"fwci":2.8237,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.91143855,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":"2","first_page":"125","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9972000122070312,"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":0.9972000122070312,"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/T10057","display_name":"Face and Expression Recognition","score":0.9864000082015991,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9758999943733215,"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":0.7170517444610596},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6421741247177124},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.628199577331543},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.562149703502655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5165508985519409},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5125031471252441},{"id":"https://openalex.org/keywords/nearest-neighbor-chain-algorithm","display_name":"Nearest-neighbor chain algorithm","score":0.5002992153167725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4957457482814789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4600166976451874},{"id":"https://openalex.org/keywords/iterative-closest-point","display_name":"Iterative closest point","score":0.4487553536891937},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44448965787887573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4439787268638611},{"id":"https://openalex.org/keywords/distance-measurement","display_name":"Distance measurement","score":0.44395753741264343},{"id":"https://openalex.org/keywords/distance-transform","display_name":"Distance transform","score":0.4325609803199768},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.2543798089027405},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24473580718040466},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.19155293703079224},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.11169648170471191},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1056571900844574}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7170517444610596},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6421741247177124},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.628199577331543},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.562149703502655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5165508985519409},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5125031471252441},{"id":"https://openalex.org/C102164700","wikidata":"https://www.wikidata.org/wiki/Q17162702","display_name":"Nearest-neighbor chain algorithm","level":5,"score":0.5002992153167725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4957457482814789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4600166976451874},{"id":"https://openalex.org/C195958017","wikidata":"https://www.wikidata.org/wiki/Q1675268","display_name":"Iterative closest point","level":3,"score":0.4487553536891937},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44448965787887573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4439787268638611},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.44395753741264343},{"id":"https://openalex.org/C73621898","wikidata":"https://www.wikidata.org/wiki/Q2940504","display_name":"Distance transform","level":3,"score":0.4325609803199768},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.2543798089027405},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24473580718040466},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.19155293703079224},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.11169648170471191},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1056571900844574}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/0167-8655(94)90041-8","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0167-8655(94)90041-8","pdf_url":null,"source":{"id":"https://openalex.org/S151820558","display_name":"Pattern Recognition Letters","issn_l":"0167-8655","issn":["0167-8655","1872-7344"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4399999976158142,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1244094129","https://openalex.org/W1497740629","https://openalex.org/W1587362683","https://openalex.org/W1972969203","https://openalex.org/W1980818753","https://openalex.org/W1987895832","https://openalex.org/W2016959655","https://openalex.org/W2027258808","https://openalex.org/W2057691548","https://openalex.org/W2116442055","https://openalex.org/W2118587067","https://openalex.org/W2540629158","https://openalex.org/W2913066018","https://openalex.org/W4205141462","https://openalex.org/W4255469293","https://openalex.org/W6628248787","https://openalex.org/W6728488360"],"related_works":["https://openalex.org/W2519241726","https://openalex.org/W2375128115","https://openalex.org/W2362413895","https://openalex.org/W2368415703","https://openalex.org/W2169618946","https://openalex.org/W2148008870","https://openalex.org/W2391642054","https://openalex.org/W2033932233","https://openalex.org/W2182477562","https://openalex.org/W2107754327"],"abstract_inverted_index":null,"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}