A Comparative Analysis of the Direct Clustering Algorithms Based on Different Similarity Measure of Vague Sets

Abstract:

In the research and development of intelligence system, clustering analysis is a very important problem. According to the new direct clustering algorithm using similarity measure of Vague sets as evaluation criteria presented by paper, the Vague direct clustering method are used to analysis using different similarity measure of Vague sets. The experimental result shows that the direct clustering method based on the similarity of Vague sets is effective, and the direct clustering method based on different similarity measure of Vague sets is the same basically, but difference on the steps of clustering. To select different algorithms according different conditions in the work of the actual applications.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 1488-1494
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.1488
• Online since: August 2013
• Authors: Wang Wei, Jin Yue Peng
• Keywords: Clustering, Fuzzy Set, Vague Set

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