{"id":"https://openalex.org/W3217436260","doi":"https://doi.org/10.1007/978-3-030-91702-9_27","title":"A Kullback-Leibler Divergence-Based Locally Linear Embedding Method: A Novel Parametric Approach for Cluster Analysis","display_name":"A Kullback-Leibler Divergence-Based Locally Linear Embedding Method: A Novel Parametric Approach for Cluster Analysis","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3217436260","doi":"https://doi.org/10.1007/978-3-030-91702-9_27","mag":"3217436260"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-91702-9_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-91702-9_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5044596103","display_name":"Alexandre L. M. Levada","orcid":"https://orcid.org/0000-0001-8253-2729"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alexandre L. M. Levada","raw_affiliation_strings":["Computing Department, Federal University of S\u00e3o Carlos, S\u00e3o Carlos, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-8253-2729","affiliations":[{"raw_affiliation_string":"Computing Department, Federal University of S\u00e3o Carlos, S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029414311","display_name":"Michel Ferreira Cardia Haddad","orcid":"https://orcid.org/0000-0002-0978-9525"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]},{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I2799858192","display_name":"London School of Business and Management","ror":"https://ror.org/01j1n1798","country_code":"GB","type":"education","lineage":["https://openalex.org/I2799858192"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michel F. C. Haddad","raw_affiliation_strings":["Department of Land Economy, University of Cambridge, Cambridge, UK","School of Business and Management, Queen Mary University of London, London, UK"],"raw_orcid":"https://orcid.org/0000-0002-0978-9525","affiliations":[{"raw_affiliation_string":"Department of Land Economy, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"School of Business and Management, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079","https://openalex.org/I2799858192"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16633663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"406","last_page":"420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9746999740600586,"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/T11448","display_name":"Face recognition and analysis","score":0.9524000287055969,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7524455785751343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6295824646949768},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.5807152390480042},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5688778162002563},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5573540925979614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5147304534912109},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.49458929896354675},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4732951521873474},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.46432915329933167},{"id":"https://openalex.org/keywords/isomap","display_name":"Isomap","score":0.4570382833480835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4535142779350281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30427056550979614}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7524455785751343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6295824646949768},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.5807152390480042},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5688778162002563},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5573540925979614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5147304534912109},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.49458929896354675},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4732951521873474},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.46432915329933167},{"id":"https://openalex.org/C2778626561","wikidata":"https://www.wikidata.org/wiki/Q6086067","display_name":"Isomap","level":4,"score":0.4570382833480835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4535142779350281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30427056550979614},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-91702-9_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-91702-9_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W25943284","https://openalex.org/W1821148229","https://openalex.org/W1965555277","https://openalex.org/W1974758710","https://openalex.org/W1987971958","https://openalex.org/W2001141328","https://openalex.org/W2053186076","https://openalex.org/W2077776048","https://openalex.org/W2129111551","https://openalex.org/W2135744686","https://openalex.org/W2156838815","https://openalex.org/W2325343629","https://openalex.org/W2407230345","https://openalex.org/W2499292135","https://openalex.org/W2786672974","https://openalex.org/W2922158313","https://openalex.org/W3024483685","https://openalex.org/W4241727697","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2375574759","https://openalex.org/W1489327846","https://openalex.org/W4287375746","https://openalex.org/W3124275785","https://openalex.org/W2037225398","https://openalex.org/W2132734978","https://openalex.org/W2166963679","https://openalex.org/W2364555648","https://openalex.org/W3126767766","https://openalex.org/W2352321395"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
