Review paper
Multiview and multifeature spectral clustering using common eigenvectors
Abstract
An ever-increasing number of data analysis problems include more than one view of the data, i.e. different measurement approaches to the population under study. In consequence, pattern analysis methods that deal appropriately with multiview data are becoming increasingly useful. In this paper, a novel multiview spectral clustering algorithm is presented (multiview spectral clustering by common eigenvectors, or MVSC-CEV), based on computing the...
Paper Details
Title
Multiview and multifeature spectral clustering using common eigenvectors
Published Date
Jan 1, 2018
Journal
Volume
102
Pages
30 - 36
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