A Vector Matrix Iterative Self-Organizing Assistant Clustering Algorithm of XML Document

Abstract

To improve the clustering quality of massive extensible markup language (XML) document clustering, this paper proposes a vector matrix iterative self-organizing assistant clustering algorithm of XML document (VMISACAX). The algorithm bases on the XML key, and transforms XML document into vector matrix, then carries out the optimizations of canceling, dissociating and uniting etc. In order to improve the convergence of the algorithm, a assistant strategy is imported to shorten the algorithm time under settling for clustering, to obtain best result of clustering by XML key's weights, but it doesn't always obtain the maximum distance's target of matrix vector clustering. Contrasted with other vector clustering algorithms, a series of emulation experiments show that this algorithm has proper the effectiveness and feasibility.