{"id":"https://openalex.org/W2163140361","doi":"https://doi.org/10.1109/igarss.2002.1026202","title":"Reducing the computation time of the Isodata and K-means unsupervised classification algorithms","display_name":"Reducing the computation time of the Isodata and K-means unsupervised classification algorithms","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2163140361","doi":"https://doi.org/10.1109/igarss.2002.1026202","mag":"2163140361"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2002.1026202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1026202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081838760","display_name":"Steven Phillips","orcid":"https://orcid.org/0000-0002-5694-0670"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S. Phillips","raw_affiliation_strings":["AT and T Research Laboratories, Florham Park, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT and T Research Laboratories, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5081838760"],"corresponding_institution_ids":["https://openalex.org/I1283103587"],"apc_list":null,"apc_paid":null,"fwci":1.0215,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.77793775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"1627","last_page":"1629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9670000076293945,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9670000076293945,"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/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.8588586449623108},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7175048589706421},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7022571563720703},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5620938539505005},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.520962119102478},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4262532591819763},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4114909768104553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3639345169067383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3421539068222046},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.21226665377616882},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07610073685646057}],"concepts":[{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.8588586449623108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175048589706421},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7022571563720703},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5620938539505005},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.520962119102478},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4262532591819763},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4114909768104553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3639345169067383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3421539068222046},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.21226665377616882},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07610073685646057},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2002.1026202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1026202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","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":11,"referenced_works":["https://openalex.org/W1498782169","https://openalex.org/W1530232144","https://openalex.org/W2105536892","https://openalex.org/W2127218421","https://openalex.org/W2138064700","https://openalex.org/W2485357515","https://openalex.org/W3106733967","https://openalex.org/W6631793827","https://openalex.org/W6678914141","https://openalex.org/W6680183763","https://openalex.org/W6786309447"],"related_works":["https://openalex.org/W2140184308","https://openalex.org/W2046435967","https://openalex.org/W4231775656","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2354191502","https://openalex.org/W1972225038","https://openalex.org/W3134658850","https://openalex.org/W2355938171","https://openalex.org/W2780079842"],"abstract_inverted_index":{"Describes":[0],"a":[1,20],"sequence":[2],"of":[3,9,22],"methods":[4,16],"to":[5],"improve":[6],"the":[7,10],"running-time":[8],"Isodata":[11],"and":[12,26,29],"K-means":[13],"algorithms.":[14],"The":[15],"are":[17],"compared":[18],"on":[19],"range":[21],"remotely-sensed":[23],"data":[24],"sets,":[25],"show":[27],"consistent":[28],"dramatic":[30],"speedups.":[31]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}