{"id":"https://openalex.org/W2805732675","doi":"https://doi.org/10.1109/isbi.2018.8363834","title":"Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis","display_name":"Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2805732675","doi":"https://doi.org/10.1109/isbi.2018.8363834","mag":"2805732675"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2018.8363834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-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/A5047303700","display_name":"Kai Liu","orcid":"https://orcid.org/0000-0003-4602-8853"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kai Liu","raw_affiliation_strings":["Department of Computer Science, Colorado School of Mines, Golden, CO"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Colorado School of Mines, Golden, CO","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403969","display_name":"Hua Wang","orcid":"https://orcid.org/0000-0002-8465-0996"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hua Wang","raw_affiliation_strings":["Department of Computer Science, Colorado School of Mines, Golden, CO"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Colorado School of Mines, Golden, CO","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018610871","display_name":"Shannon L. Risacher","orcid":"https://orcid.org/0000-0002-3304-7943"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shannon Risacher","raw_affiliation_strings":["Radiology and Imaging Sciences, Indiana University, IN"],"affiliations":[{"raw_affiliation_string":"Radiology and Imaging Sciences, Indiana University, IN","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026257338","display_name":"Andrew J. Saykin","orcid":"https://orcid.org/0000-0002-1376-8532"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Saykin","raw_affiliation_strings":["Radiology and Imaging Sciences, Indiana University, IN"],"affiliations":[{"raw_affiliation_string":"Radiology and Imaging Sciences, Indiana University, IN","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333320","display_name":"Li Shen","orcid":"https://orcid.org/0000-0002-5443-0503"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Shen","raw_affiliation_strings":["Radiology and Imaging Sciences, Indiana University, IN"],"affiliations":[{"raw_affiliation_string":"Radiology and Imaging Sciences, Indiana University, IN","institution_ids":["https://openalex.org/I592451"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047303700"],"corresponding_institution_ids":["https://openalex.org/I167576493"],"apc_list":null,"apc_paid":null,"fwci":0.4178,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.66112065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1402","last_page":"1405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9922999739646912,"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/T10057","display_name":"Face and Expression Recognition","score":0.9904999732971191,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8232040405273438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7857059240341187},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7837939262390137},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7004369497299194},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6751968264579773},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6673827171325684},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.6490070223808289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5567855834960938},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.524789035320282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5165637731552124},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.45836174488067627},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.43134766817092896},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.211689293384552},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.09127700328826904},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07007071375846863}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8232040405273438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7857059240341187},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7837939262390137},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7004369497299194},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6751968264579773},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6673827171325684},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.6490070223808289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5567855834960938},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.524789035320282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5165637731552124},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.45836174488067627},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.43134766817092896},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.211689293384552},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.09127700328826904},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07007071375846863},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2018.8363834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W49942714","https://openalex.org/W1902027874","https://openalex.org/W1991311318","https://openalex.org/W2013029404","https://openalex.org/W2071018795","https://openalex.org/W2084358449","https://openalex.org/W2105709960","https://openalex.org/W2166348468","https://openalex.org/W2181159407","https://openalex.org/W2399260173","https://openalex.org/W2405459681","https://openalex.org/W2571268788","https://openalex.org/W2736615279","https://openalex.org/W6601987920","https://openalex.org/W6668201962","https://openalex.org/W6675968127","https://openalex.org/W6713212944"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2146544734"],"abstract_inverted_index":{"Traditional":[0],"neuroimaging":[1],"analysis,":[2,65],"such":[3],"as":[4],"clustering":[5,62],"the":[6,10,17,44,56,78,121,125],"data":[7,18,45,79,113],"collected":[8],"for":[9],"Alzheimer's":[11],"disease":[12],"(AD),":[13],"usually":[14],"relies":[15],"on":[16,95,120],"from":[19,46,80],"one":[20],"single":[21],"imaging":[22],"modality.":[23],"However,":[24],"recent":[25],"technology":[26],"and":[27,42,49],"equipment":[28],"advancements":[29],"provide":[30],"with":[31,111],"us":[32],"opportunities":[33],"to":[34,74],"better":[35,61,105],"analyze":[36],"diseases,":[37],"where":[38],"we":[39,69,87],"could":[40],"collect":[41],"employ":[43],"different":[47,81],"image":[48],"genetic":[50],"modalities":[51],"that":[52],"may":[53],"potentially":[54],"enhance":[55],"predictive":[57],"performance.":[58],"To":[59,83],"perform":[60],"in":[63,66,115],"AD":[64],"this":[67,85],"paper":[68],"conduct":[70],"a":[71,89],"new":[72],"study":[73],"make":[75],"use":[76],"of":[77,127],"modalities/views.":[82],"achieve":[84,104],"goal,":[86],"propose":[88],"simple":[90],"yet":[91],"efficient":[92],"method":[93],"based":[94],"Non-negative":[96],"Matrix":[97],"Factorization":[98],"(NMF)":[99],"which":[100],"can":[101],"not":[102],"only":[103],"prediction":[106],"performance":[107],"but":[108],"also":[109],"deal":[110],"some":[112,116],"missing":[114],"views.":[117],"Experimental":[118],"results":[119],"ADNI":[122],"dataset":[123],"demonstrate":[124],"effectiveness":[126],"our":[128],"proposed":[129],"method.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}