{"id":"https://openalex.org/W2064347530","doi":"https://doi.org/10.1007/s10044-014-0418-2","title":"SWGMM: a semi-wrapped Gaussian mixture model for clustering of circular\u2013linear data","display_name":"SWGMM: a semi-wrapped Gaussian mixture model for clustering of circular\u2013linear data","publication_year":2014,"publication_date":"2014-10-04","ids":{"openalex":"https://openalex.org/W2064347530","doi":"https://doi.org/10.1007/s10044-014-0418-2","mag":"2064347530"},"language":"en","primary_location":{"id":"doi:10.1007/s10044-014-0418-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10044-014-0418-2","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/A5016204937","display_name":"Anandarup Roy","orcid":"https://orcid.org/0000-0001-9084-3949"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anandarup Roy","raw_affiliation_strings":["Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata, 700108, India","Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India - 700108"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata, 700108, India","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India - 700108","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102911608","display_name":"Swapan K. Parui","orcid":"https://orcid.org/0000-0001-6863-5780"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swapan K. Parui","raw_affiliation_strings":["Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata, 700108, India","Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India - 700108"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata, 700108, India","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India - 700108","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119824493","display_name":"Utpal Roy","orcid":"https://orcid.org/0000-0002-7057-2333"},"institutions":[{"id":"https://openalex.org/I130291710","display_name":"Visva-Bharati University","ror":"https://ror.org/02y28sc20","country_code":"IN","type":"education","lineage":["https://openalex.org/I130291710"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Utpal Roy","raw_affiliation_strings":["Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, 731235, India","Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, India 731235#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, 731235, India","institution_ids":["https://openalex.org/I130291710"]},{"raw_affiliation_string":"Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, India 731235#TAB#","institution_ids":["https://openalex.org/I130291710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016204937"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":3.3917,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.93160849,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"3","first_page":"631","last_page":"645"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998000264167786,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998000264167786,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9951000213623047,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.8545215129852295},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6367926001548767},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.6184955835342407},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5637295842170715},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.5381307005882263},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4926632046699524},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48698505759239197},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.47941869497299194},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.4545213580131531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4224085211753845},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41760730743408203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4129413962364197},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20370998978614807},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.07134529948234558}],"concepts":[{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.8545215129852295},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6367926001548767},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.6184955835342407},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5637295842170715},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.5381307005882263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4926632046699524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48698505759239197},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.47941869497299194},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.4545213580131531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4224085211753845},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41760730743408203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4129413962364197},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20370998978614807},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.07134529948234558},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10044-014-0418-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10044-014-0418-2","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W49703105","https://openalex.org/W96390954","https://openalex.org/W150344728","https://openalex.org/W1498238238","https://openalex.org/W1567665801","https://openalex.org/W1579271636","https://openalex.org/W2002260165","https://openalex.org/W2010748082","https://openalex.org/W2013267875","https://openalex.org/W2015245929","https://openalex.org/W2101117375","https://openalex.org/W2109966924","https://openalex.org/W2121189958","https://openalex.org/W2121927366","https://openalex.org/W2122287230","https://openalex.org/W2137971377","https://openalex.org/W2141729166","https://openalex.org/W2144224612","https://openalex.org/W2145001205","https://openalex.org/W2150879893","https://openalex.org/W2157487910","https://openalex.org/W2320050191","https://openalex.org/W2425246132","https://openalex.org/W2488678869","https://openalex.org/W2905459315","https://openalex.org/W4229685370","https://openalex.org/W4246202668"],"related_works":["https://openalex.org/W2473373438","https://openalex.org/W2368486525","https://openalex.org/W2114899076","https://openalex.org/W1783992599","https://openalex.org/W2077224612","https://openalex.org/W84255947","https://openalex.org/W2153481672","https://openalex.org/W2045588782","https://openalex.org/W2124697778","https://openalex.org/W4312864369"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}