{"id":"https://openalex.org/W3023148566","doi":"https://doi.org/10.1007/s11063-020-10257-0","title":"Joint Robust Multi-view Spectral Clustering","display_name":"Joint Robust Multi-view Spectral Clustering","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3023148566","doi":"https://doi.org/10.1007/s11063-020-10257-0","mag":"3023148566"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-020-10257-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-020-10257-0","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"Neural Processing Letters","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/A5100392689","display_name":"Tong Liu","orcid":"https://orcid.org/0000-0003-3047-1148"},"institutions":[{"id":"https://openalex.org/I51158804","display_name":"Massey University","ror":"https://ror.org/052czxv31","country_code":"NZ","type":"education","lineage":["https://openalex.org/I51158804"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Tong Liu","raw_affiliation_strings":["School of Natural and Computational Sciences, Massey University, Auckland, New Zealand"],"raw_orcid":"https://orcid.org/0000-0003-3047-1148","affiliations":[{"raw_affiliation_string":"School of Natural and Computational Sciences, Massey University, Auckland, New Zealand","institution_ids":["https://openalex.org/I51158804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081252109","display_name":"Gaven Martin","orcid":"https://orcid.org/0000-0002-9395-5855"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gaven Martin","raw_affiliation_strings":["New Zealand Institute for Advanced Study, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Zealand Institute for Advanced Study, Auckland, New Zealand","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086260915","display_name":"Yongxin Zhu","orcid":"https://orcid.org/0000-0002-1813-1792"},"institutions":[{"id":"https://openalex.org/I95946905","display_name":"Hebei GEO University","ror":"https://ror.org/013x4kb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I95946905"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YongXin Zhu","raw_affiliation_strings":["Hebei GEO University, ShiJiaZhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei GEO University, ShiJiaZhuang, China","institution_ids":["https://openalex.org/I95946905"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lin Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I195019228","display_name":"Yunnan Agricultural University","ror":"https://ror.org/04dpa3g90","country_code":"CN","type":"education","lineage":["https://openalex.org/I195019228"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Peng","raw_affiliation_strings":["College of Big Data, Yunnan Agricultural University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data, Yunnan Agricultural University, Kunming, China","institution_ids":["https://openalex.org/I195019228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112487206","display_name":"Li Li","orcid":"https://orcid.org/0009-0007-4531-2584"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100392689"],"corresponding_institution_ids":["https://openalex.org/I51158804"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.2885,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.53436516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"52","issue":"3","first_page":"1843","last_page":"1862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980999827384949,"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":0.9980999827384949,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9937999844551086,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9883999824523926,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8401916027069092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6431257724761963},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.618026077747345},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5934380888938904},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5798411965370178},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.5608681440353394},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5464826822280884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5441998839378357},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5408682227134705},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5393943190574646},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.5290431380271912},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.5275753736495972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48765480518341064},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.4774244725704193},{"id":"https://openalex.org/keywords/determining-the-number-of-clusters-in-a-data-set","display_name":"Determining the number of clusters in a data set","score":0.47389546036720276},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4468381404876709},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42457905411720276},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.418300986289978}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8401916027069092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6431257724761963},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.618026077747345},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5934380888938904},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5798411965370178},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.5608681440353394},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5464826822280884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5441998839378357},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5408682227134705},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5393943190574646},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.5290431380271912},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.5275753736495972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48765480518341064},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4774244725704193},{"id":"https://openalex.org/C149872217","wikidata":"https://www.wikidata.org/wiki/Q5265701","display_name":"Determining the number of clusters in a data set","level":5,"score":0.47389546036720276},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4468381404876709},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42457905411720276},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.418300986289978},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-020-10257-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-020-10257-0","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W186085407","https://openalex.org/W188370263","https://openalex.org/W1546155242","https://openalex.org/W1552339598","https://openalex.org/W1967722387","https://openalex.org/W1981276685","https://openalex.org/W1992905164","https://openalex.org/W2085789144","https://openalex.org/W2088616581","https://openalex.org/W2115733720","https://openalex.org/W2144419338","https://openalex.org/W2154415691","https://openalex.org/W2165644552","https://openalex.org/W2167403490","https://openalex.org/W2170661374","https://openalex.org/W2185940157","https://openalex.org/W2573268259","https://openalex.org/W2614818206","https://openalex.org/W2748391982","https://openalex.org/W2753911042","https://openalex.org/W2758611985","https://openalex.org/W2763434300","https://openalex.org/W2769509511","https://openalex.org/W2792234535","https://openalex.org/W2797610513","https://openalex.org/W2809299793","https://openalex.org/W2809506935","https://openalex.org/W2809701111","https://openalex.org/W2883604340","https://openalex.org/W2891318845","https://openalex.org/W2895210058","https://openalex.org/W2898541610","https://openalex.org/W2902066303","https://openalex.org/W2903321361","https://openalex.org/W2910041730","https://openalex.org/W2911627187","https://openalex.org/W2922211281","https://openalex.org/W2928269086","https://openalex.org/W2943825593","https://openalex.org/W2984592067","https://openalex.org/W2989589450","https://openalex.org/W2997891905","https://openalex.org/W2998490552","https://openalex.org/W3097993951","https://openalex.org/W4238202755","https://openalex.org/W4289236186","https://openalex.org/W6601205648","https://openalex.org/W6816222938"],"related_works":["https://openalex.org/W2188840951","https://openalex.org/W3186815950","https://openalex.org/W2770741777","https://openalex.org/W2559422900","https://openalex.org/W2202413591","https://openalex.org/W2590117803","https://openalex.org/W2171610853","https://openalex.org/W2272768744","https://openalex.org/W1481928625","https://openalex.org/W2389934482"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}