The Core Cluster-Based Subspace Weighted Clustering Ensemble
Algorithm 4
Input: ,
Output:
1. Performed clustering on each base subspace to generate a set of subspace clustering ensemble
2. Generate the adaptive core clusters according to Definition 1
3. Calculate the similarity matrix of clusters in according to Equation (23) and (24)
4. Build the graph according to Equations (29)–(31)
5. Partition the graph nodes into disjoint groups by Tcut, generating
6. The core clusters are treated as the base unit, the metaclusters corresponding to the core clusters are determined according to Equations (32), (34), and (35)
