Title: A document cluster ensemble spectral algorithm based on affinity propagation
Abstract: The existing cluster ensemble spectral algorithm are mostly unstable.To solve this problem,an affinity propagation-based cluster ensemble spectral algorithm was proposed,which brings in the idea of affinity propagation clustering.The algorithm utilized cluster ensemble and spectral analysis to achieve the low dimensional embedding of documents,and obtained the final clustering results by using an affinity propagation clustering algorithm.To avoid the high computational cost of eigenvalue decomposition in a spectral algorithm,matrix transformation was used in this paper.Experiments using real-world document sets show that the proposed algorithm is more stable than the compared methods,both NMI and ANMI values of the clustering result are higher than that of the comparison method.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
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