Publication Information

{'id': 'https://openalex.org/W2405459681', 'doi': 'https://doi.org/10.1137/1.9781611972832.28', 'title': 'Multi-View Clustering via Joint Nonnegative Matrix Factorization', 'display_name': 'Multi-View Clustering via Joint Nonnegative Matrix Factorization', 'publication_year': 2013, 'publication_date': '2013-05-02', 'ids': {'openalex': 'https://openalex.org/W2405459681', 'doi': 'https://doi.org/10.1137/1.9781611972832.28', 'mag': '2405459681'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1137/1.9781611972832.28', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5101681241', 'display_name': 'Jialu Liu', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I63190737', 'display_name': 'University at Buffalo, State University of New York', 'ror': 'https://ror.org/01y64my43', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I63190737']}, {'id': 'https://openalex.org/I115441956', 'display_name': 'Buffalo State University', 'ror': 'https://ror.org/05ms04m92', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I115441956']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Jialu Liu', 'raw_affiliation_strings': ['SUNY–Buffalo'], 'affiliations': [{'raw_affiliation_string': 'SUNY–Buffalo', 'institution_ids': ['https://openalex.org/I63190737', 'https://openalex.org/I115441956']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5100342213', 'display_name': 'Chi Wang', 'orcid': 'https://orcid.org/0000-0002-4751-8187'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Chi Wang', 'raw_affiliation_strings': ['Information Trust Institute'], 'affiliations': [{'raw_affiliation_string': 'Information Trust Institute', 'institution_ids': []}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5100781385', 'display_name': 'Jing Gao', 'orcid': 'https://orcid.org/0000-0001-5099-6991'}, 'institutions': [{'id': 'https://openalex.org/I157725225', 'display_name': 'University of Illinois Urbana-Champaign', 'ror': 'https://ror.org/047426m28', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I157725225']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Jing Gao', 'raw_affiliation_strings': ['***University of Illinois at Urbana-Champaign'], 'affiliations': [{'raw_affiliation_string': '***University of Illinois at Urbana-Champaign', 'institution_ids': ['https://openalex.org/I157725225']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5019539533', 'display_name': 'Jiawei Han', 'orcid': 'https://orcid.org/0000-0002-3629-2696'}, 'institutions': [{'id': 'https://openalex.org/I157725225', 'display_name': 'University of Illinois Urbana-Champaign', 'ror': 'https://ror.org/047426m28', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I157725225']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Jiawei Han', 'raw_affiliation_strings': ['***University of Illinois at Urbana-Champaign'], 'affiliations': [{'raw_affiliation_string': '***University of Illinois at Urbana-Champaign', 'institution_ids': ['https://openalex.org/I157725225']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 3, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 21.562, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 812, 'citation_normalized_percentile': {'value': 0.99985, 'is_in_top_1_percent': True, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 99, 'max': 100}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10057', 'display_name': 'Face and Expression Recognition', 'score': 0.9965, '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': 0.9965, '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/T10824', 'display_name': 'Image Retrieval and Classification Techniques', 'score': 0.9964, '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/T10637', 'display_name': 'Advanced Clustering Algorithms Research', 'score': 0.9873, '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/non-negative-matrix-factorization', 'display_name': 'Non-negative Matrix Factorization', 'score': 0.7268259}, {'id': 'https://openalex.org/keywords/normalization', 'display_name': 'Normalization', 'score': 0.5052174}, {'id': 'https://openalex.org/keywords/biclustering', 'display_name': 'Biclustering', 'score': 0.5001106}], 'concepts': [{'id': 'https://openalex.org/C73555534', 'wikidata': 'https://www.wikidata.org/wiki/Q622825', 'display_name': 'Cluster analysis', 'level': 2, 'score': 0.8490679}, {'id': 'https://openalex.org/C152671427', 'wikidata': 'https://www.wikidata.org/wiki/Q10843505', 'display_name': 'Non-negative matrix factorization', 'level': 4, 'score': 0.7268259}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.71499}, {'id': 'https://openalex.org/C42355184', 'wikidata': 'https://www.wikidata.org/wiki/Q1361088', 'display_name': 'Matrix decomposition', 'level': 3, 'score': 0.5768467}, {'id': 'https://openalex.org/C136886441', 'wikidata': 'https://www.wikidata.org/wiki/Q926129', 'display_name': 'Normalization (sociology)', 'level': 2, 'score': 0.5052174}, {'id': 'https://openalex.org/C144817290', 'wikidata': 'https://www.wikidata.org/wiki/Q2976575', 'display_name': 'Biclustering', 'level': 5, 'score': 0.5001106}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.44940513}, {'id': 'https://openalex.org/C187834632', 'wikidata': 'https://www.wikidata.org/wiki/Q188804', 'display_name': 'Factorization', 'level': 2, 'score': 0.4132607}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.40561867}, {'id': 'https://openalex.org/C80444323', 'wikidata': 'https://www.wikidata.org/wiki/Q2878974', 'display_name': 'Theoretical computer science', 'level': 1, 'score': 0.3589741}, {'id': 'https://openalex.org/C17212007', 'wikidata': 'https://www.wikidata.org/wiki/Q5511111', 'display_name': 'Fuzzy clustering', 'level': 3, 'score': 0.25305277}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.21747023}, {'id': 'https://openalex.org/C104047586', 'wikidata': 'https://www.wikidata.org/wiki/Q5033439', 'display_name': 'Canopy clustering algorithm', 'level': 4, 'score': 0.20211822}, {'id': 'https://openalex.org/C158693339', 'wikidata': 'https://www.wikidata.org/wiki/Q190524', 'display_name': 'Eigenvalues and eigenvectors', 'level': 2, 'score': 0.0}, {'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}, {'id': 'https://openalex.org/C144024400', 'wikidata': 'https://www.wikidata.org/wiki/Q21201', 'display_name': 'Sociology', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C19165224', 'wikidata': 'https://www.wikidata.org/wiki/Q23404', 'display_name': 'Anthropology', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1137/1.9781611972832.28', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 22, 'referenced_works': ['https://openalex.org/W1550614472', 'https://openalex.org/W1902027874', 'https://openalex.org/W1991311318', 'https://openalex.org/W2013029404', 'https://openalex.org/W2028080169', 'https://openalex.org/W203516808', 'https://openalex.org/W2043545458', 'https://openalex.org/W2048679005', 'https://openalex.org/W20696413', 'https://openalex.org/W2101324110', 'https://openalex.org/W2107743791', 'https://openalex.org/W2108502868', 'https://openalex.org/W2117420919', 'https://openalex.org/W2123576058', 'https://openalex.org/W2133348086', 'https://openalex.org/W2136294701', 'https://openalex.org/W2136787567', 'https://openalex.org/W2142674578', 'https://openalex.org/W2142742813', 'https://openalex.org/W2144750001', 'https://openalex.org/W2154415691', 'https://openalex.org/W2165021061'], 'related_works': ['https://openalex.org/W4390394189', 'https://openalex.org/W4288247325', 'https://openalex.org/W2970818630', 'https://openalex.org/W2792706544', 'https://openalex.org/W2539013788', 'https://openalex.org/W2156699640', 'https://openalex.org/W2127243424', 'https://openalex.org/W2045265907', 'https://openalex.org/W2037504162', 'https://openalex.org/W1568451138'], 'abstract_inverted_index': {'Previous': [0, 204], 'chapter': [1, 3, 205, 207], 'Next': [2, 206], 'Full': [4], 'AccessProceedings': [5], 'Proceedings': [6], 'of': [7, 53, 143, 151, 201], 'the': [8, 73, 93, 137, 184, 199], '2013': [9], 'SIAM': [10], 'International': [11], 'Conference': [12], 'on': [13, 192], 'Data': [14], 'Mining': [15], '(SDM)Multi-View': [16], 'Clustering': [17], 'via': [18], 'Joint': [19], 'Nonnegative': [20], 'Matrix': [21], 'FactorizationJialu': [22], 'Liu,': [23, 31], 'Chi': [24, 32], 'Wang,': [25, 33], 'Jing': [26, 34], 'Gao,': [27, 35], 'and': [28, 36, 168, 178, 188, 194], 'Jiawei': [29, 37], 'HanJialu': [30], 'Hanpp.252': [38], '-': [39], '260Chapter': [40], 'DOI:https://doi.org/10.1137/1.9781611972832.28PDFBibTexSections': [41], 'ToolsAdd': [42], 'to': [43, 63, 82, 87, 129, 160], 'favoritesExport': [44], 'CitationTrack': [45], 'CitationsEmail': [46], 'SectionsAboutAbstract': [47], 'Many': [48], 'real-world': [49], 'datasets': [50, 197], 'are': [51], 'comprised': [52], 'different': [54, 165], 'representations': [55], 'or': [56], 'views': [57, 71, 85, 166], 'which': [58, 91], 'often': [59], 'provide': [60], 'information': [61, 68], 'complementary': [62], 'each': [64, 144], 'other.': [65], 'To': [66, 170], 'integrate': [67], 'from': [69], 'multiple': [70, 84, 99, 123], 'in': [72], 'unsupervised': [74], 'setting,': [75], 'multi-view': [76, 109], 'clustering': [77, 110, 120, 141, 162], 'algorithms': [78], 'have': [79], 'been': [80], 'developed': [81], 'cluster': [83], 'simultaneously': [86], 'derive': [88], 'a': [89, 106, 115, 131, 147, 176], 'solution': [90, 142], 'uncovers': [92], 'common': [94, 148], 'latent': [95], 'structure': [96], 'shared': [97], 'by': [98, 112, 183], 'views.': [100, 124], 'In': [101], 'this': [102, 172], 'paper,': [103], 'we': [104, 174], 'propose': [105], 'novel': [107, 177], 'NMF-based': [108], 'algorithm': [111], 'searching': [113], 'for': [114], 'factorization': [116, 134], 'that': [117, 139], 'gives': [118], 'compatible': [119], 'solutions': [121, 163], 'across': [122, 164], 'The': [125, 155], 'key': [126], 'idea': [127], 'is': [128, 158], 'formulate': [130], 'joint': [132], 'matrix': [133], 'process': [135], 'with': [136], 'constraint': [138], 'pushes': [140], 'view': [145], 'towards': [146], 'consensus': [149], 'instead': [150], 'fixing': [152], 'it': [153], 'directly.': [154], 'main': [156], 'challenge': [157], 'how': [159], 'keep': [161], 'meaningful': [167], 'comparable.': [169], 'tackle': [171], 'challenge,': [173], 'design': [175], 'effective': [179], 'normalization': [180], 'strategy': [181], 'inspired': [182], 'connection': [185], 'between': [186], 'NMF': [187], 'PLSA.': [189], 'Experimental': [190], 'results': [191], 'synthetic': [193], 'several': [195], 'real': [196], 'demonstrate': [198], 'effectiveness': [200], 'our': [202], 'approach.': [203], 'RelatedDetails': [208], 'Published:2013ISBN:978-1-61197-262-7eISBN:978-1-61197-283-2': [209], 'https://doi.org/10.1137/1.9781611972832Book': [210], 'Series': [211], 'Name:ProceedingsBook': [212], 'Code:PRDT13Book': [213], 'Pages:1-804': [214]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2405459681', 'counts_by_year': [{'year': 2024, 'cited_by_count': 50}, {'year': 2023, 'cited_by_count': 56}, {'year': 2022, 'cited_by_count': 76}, {'year': 2021, 'cited_by_count': 118}, {'year': 2020, 'cited_by_count': 106}, {'year': 2019, 'cited_by_count': 98}, {'year': 2018, 'cited_by_count': 87}, {'year': 2017, 'cited_by_count': 70}, {'year': 2016, 'cited_by_count': 64}, {'year': 2015, 'cited_by_count': 42}, {'year': 2014, 'cited_by_count': 21}, {'year': 2013, 'cited_by_count': 6}], 'updated_date': '2024-12-24T12:25:07.145615', 'created_date': '2016-06-24'}