Research Article
LogDet Rank Minimization with Application to Subspace Clustering
Input: data matrix , number of subspaces , parameters , , and . | (1) Obtain from Algorithm 1. | (2) Compute the skinny SVD . | (3) Calculate or . | (4) Construct the affinity graph matrix by (25). | (5) Apply to perform NCuts. |
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