Low-rank sparse subspace for spectral clustering

The current two-step clustering methods separately learn the similarity matrix and conduct k means clustering. Moreover, the similarity matrix is learnt from the original data, which usually contain noise. As a consequence, these clustering methods cannot achieve good clustering results. To address...

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Bibliographic Details
Main Authors: ZHU, Xiaofeng, ZHANG, Shichao, LI, Yonggang, ZHANG, Jilian, YANG, Lifeng, FANG, Yue
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access:https://ink.library.smu.edu.sg/sis_research/4093
https://ink.library.smu.edu.sg/context/sis_research/article/5096/viewcontent/08417928.pdf
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Institution: Singapore Management University
Language: English