Computational Intelligence and Neuroscience / 2017 / Article / Alg 2

Research Article

Fast Constrained Spectral Clustering and Cluster Ensemble with Random Projection

Algorithm 2

Spectral ensemble clustering with random projection.
Input: binary matrix , weights set , cluster number .
Output: the final partition result.
() Generate a sparse random matrix meeting the requirements of Lemma 2,
   where , , , ;
() Compute , where is a diagonal matrix with diagonal entries ;
() Compute ;
() Run weighted -means clustering on with weight set to obtain the final clustering result.

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