{"id":"https://openalex.org/W2003668590","doi":"https://doi.org/10.1016/0031-3203(91)90062-a","title":"An efficient agglomerative clustering algorithm using a heap","display_name":"An efficient agglomerative clustering algorithm using a heap","publication_year":1991,"publication_date":"1991-01-01","ids":{"openalex":"https://openalex.org/W2003668590","doi":"https://doi.org/10.1016/0031-3203(91)90062-a","mag":"2003668590"},"language":"en","primary_location":{"id":"doi:10.1016/0031-3203(91)90062-a","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0031-3203(91)90062-a","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"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","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/A5086456461","display_name":"Takio Kurita","orcid":"https://orcid.org/0000-0003-3982-6750"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Takio Kurita","raw_affiliation_strings":["Electrotechnical Laboratory, 1-1-4 Umezono, Tsukuba-shi, Ibaraki-ken, Japan 305"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrotechnical Laboratory, 1-1-4 Umezono, Tsukuba-shi, Ibaraki-ken, Japan 305","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5086456461"],"corresponding_institution_ids":[],"apc_list":{"value":2850,"currency":"USD","value_usd":2850},"apc_paid":null,"fwci":3.2792,"has_fulltext":false,"cited_by_count":122,"citation_normalized_percentile":{"value":0.9186747,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":"3","first_page":"205","last_page":"209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9986000061035156,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9986000061035156,"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/T11106","display_name":"Data Management and Algorithms","score":0.9984999895095825,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9901999831199646,"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/heap","display_name":"Heap (data structure)","score":0.8983389139175415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5476667881011963},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5048952698707581},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.49716880917549133},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.46676868200302124},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.4198344945907593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3531717360019684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18366125226020813}],"concepts":[{"id":"https://openalex.org/C134757568","wikidata":"https://www.wikidata.org/wiki/Q274089","display_name":"Heap (data structure)","level":2,"score":0.8983389139175415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5476667881011963},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5048952698707581},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49716880917549133},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.46676868200302124},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.4198344945907593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3531717360019684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18366125226020813}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/0031-3203(91)90062-a","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0031-3203(91)90062-a","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"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","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":9,"referenced_works":["https://openalex.org/W214150930","https://openalex.org/W1998473728","https://openalex.org/W2003494253","https://openalex.org/W2098929365","https://openalex.org/W2118587067","https://openalex.org/W2134383396","https://openalex.org/W2913399920","https://openalex.org/W3198470706","https://openalex.org/W4244017338"],"related_works":["https://openalex.org/W3158777280","https://openalex.org/W2093687902","https://openalex.org/W2949158926","https://openalex.org/W4301885003","https://openalex.org/W2005058894","https://openalex.org/W1996981508","https://openalex.org/W1989205740","https://openalex.org/W3200375535","https://openalex.org/W3091917984","https://openalex.org/W1602287844"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
