Joint Spectral Clustering based on Optimal Graph and Feature Selection

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dc.citation.issue1
dc.citation.volume53
dc.contributor.authorZhu J
dc.contributor.authorJang-Jaccard J
dc.contributor.authorLiu T
dc.contributor.authorZhou J
dc.date.available2021-02
dc.date.issued2021-02
dc.descriptionCAUL read and publish agreement 2022
dc.description.abstractRedundant features and outliers (noise) included in the data points for a machine learning clustering model heavily influences the discovery of more distinguished features for clustering. To solve this issue, we propose a spectral new clustering method to consider the feature selection with the L2 , 1-norm regularization as well as simultaneously learns orthogonal representations for each sample to preserve the local structures of data points. Our model also solves the issue of out-of-sample, where the training process does not output an explicit model to predict unseen data points, along with providing an efficient optimization method for the proposed objective function. Experimental results showed that our method on twelve data sets achieves the best performance compared with other similar models.
dc.description.publication-statusPublished
dc.format.extent257 - 273
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000590506900003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifier.citationNEURAL PROCESSING LETTERS, 2021, 53 (1), pp. 257 - 273
dc.identifier.doi10.1007/s11063-020-10383-9
dc.identifier.eissn1573-773X
dc.identifier.elements-id436094
dc.identifier.harvestedMassey_Dark
dc.identifier.issn1370-4621
dc.identifier.urihttps://hdl.handle.net/10179/17427
dc.publisherSpringer Nature Switzerland AG
dc.relation.isPartOfNEURAL PROCESSING LETTERS
dc.subjectFeature selection
dc.subjectClustering
dc.subjectGraph matrix
dc.subjectdimensionality reduction
dc.subjectsubspace learning
dc.subject.anzsrc0801 Artificial Intelligence and Image Processing
dc.subject.anzsrc1702 Cognitive Sciences
dc.titleJoint Spectral Clustering based on Optimal Graph and Feature Selection
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Mathematical and Computational Sciences
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