Regularized matrix data clustering and its application to image analysis
We propose a novel regularized mixture model for clustering matrix-valued data. The proposed method assumes a separable covariance structure for each cluster and imposes a sparsity structure (eg, low rankness, spatial sparsity) for the mean signal of each cluster. We formulate the problem as a finit...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
John Wiley and Sons Inc
2021
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Subjects: | |
Online Access: | View Fulltext in Publisher |