Multiview and multifeature spectral clustering using common eigenvectors

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...