Research Article
Incomplete Multiview Clustering via Late Fusion
Algorithm 1
Incomplete multiview clustering via late fusion.
Input: | | Incomplete multiview data: | | The number of clusters: K | | The initial clustering decision: | Output: | | The final clustering decision: | (1) | Initializing centroids with according to Equation (12) | (2) | Performing kernel k-means with the visible instances in each view with cluster number K to get clustering results: | (3) | repeat | (4) | Updating with Equation (8) | (5) | Updating according to Equation (12) | (6) | until does not change | (7) | return |
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