{"id":"https://openalex.org/W2030015952","doi":"https://doi.org/10.1007/s10044-005-0251-8","title":"Clustering spatial data with a hybrid EM approach","display_name":"Clustering spatial data with a hybrid EM approach","publication_year":2005,"publication_date":"2005-07-18","ids":{"openalex":"https://openalex.org/W2030015952","doi":"https://doi.org/10.1007/s10044-005-0251-8","mag":"2030015952"},"language":"en","primary_location":{"id":"doi:10.1007/s10044-005-0251-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10044-005-0251-8","pdf_url":null,"source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","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/A5035368517","display_name":"Tianming Hu","orcid":"https://orcid.org/0000-0002-9254-5862"},"institutions":[{"id":"https://openalex.org/I4210165736","display_name":"Hanshan Normal University","ror":"https://ror.org/05tqaz865","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165736"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianming Hu","raw_affiliation_strings":["School of Mathematics and Information Technology, HanShan Normal University, ChaoZhou, GuangDong, China, 521041","School of Mathematics and Information Technology, HanShan Normal University, ChaoZhou, China 521041#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Technology, HanShan Normal University, ChaoZhou, GuangDong, China, 521041","institution_ids":["https://openalex.org/I4210165736"]},{"raw_affiliation_string":"School of Mathematics and Information Technology, HanShan Normal University, ChaoZhou, China 521041#TAB#","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113588307","display_name":"Sam Yuan Sung","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sam Yuan Sung","raw_affiliation_strings":["Department of Computer Science, National University of Singapore, Singapore, 117543","Department of Computer Science, National University of Singapore, Singapore 117543#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National University of Singapore, Singapore, 117543","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Department of Computer Science, National University of Singapore, Singapore 117543#TAB#","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035368517"],"corresponding_institution_ids":["https://openalex.org/I4210165736"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.3701,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84688039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":"1-2","first_page":"139","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9979000091552734,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.991599977016449,"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":0.818092942237854},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.549006462097168},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5396122932434082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5390194654464722},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.5372225046157837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5240904688835144},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49317044019699097},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.48456302285194397},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.47190767526626587},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46679598093032837},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4553655982017517},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.45113405585289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4451500475406647},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.44324055314064026},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4159245789051056},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.4155910015106201},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.156712144613266},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08550730347633362},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.08196574449539185}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.818092942237854},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.549006462097168},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5396122932434082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5390194654464722},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.5372225046157837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5240904688835144},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49317044019699097},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.48456302285194397},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.47190767526626587},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46679598093032837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4553655982017517},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.45113405585289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4451500475406647},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.44324055314064026},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4159245789051056},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.4155910015106201},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.156712144613266},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08550730347633362},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.08196574449539185}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10044-005-0251-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10044-005-0251-8","pdf_url":null,"source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/39839","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/39839","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.92.1709","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.1709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cosc.southtexascollege.edu/ssung/publication/HEMrev1.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W187677220","https://openalex.org/W1493454437","https://openalex.org/W1566045017","https://openalex.org/W1673310716","https://openalex.org/W1746680969","https://openalex.org/W1965555277","https://openalex.org/W1982601383","https://openalex.org/W1988648914","https://openalex.org/W1991278573","https://openalex.org/W1999437392","https://openalex.org/W2020999234","https://openalex.org/W2049633694","https://openalex.org/W2049694710","https://openalex.org/W2059279601","https://openalex.org/W2059598056","https://openalex.org/W2119462844","https://openalex.org/W2125055259","https://openalex.org/W2126626732","https://openalex.org/W2139956879","https://openalex.org/W2141585940","https://openalex.org/W2142349511","https://openalex.org/W2143022286","https://openalex.org/W2171622142","https://openalex.org/W2343034826","https://openalex.org/W2496675188","https://openalex.org/W2567948266","https://openalex.org/W2573715514","https://openalex.org/W2999729612","https://openalex.org/W3112020351","https://openalex.org/W4214573638","https://openalex.org/W4249343290"],"related_works":["https://openalex.org/W4310575853","https://openalex.org/W3092684173","https://openalex.org/W10437313","https://openalex.org/W2163563073","https://openalex.org/W2025839902","https://openalex.org/W2386689530","https://openalex.org/W4308244762","https://openalex.org/W2293953271","https://openalex.org/W2040929534","https://openalex.org/W1491908038"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
