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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