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