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International Conference on Information, Electronic and Computer Science (ICIECS 2010 E-BOOK)

Zibo,China,11.26-11.28,2010

ISBN: 978-1-935068-42-6 Scientific Research Publishing, USA

E-Book 2224pp Pub. Date: November 2010

Category: Computer Science & Communications

Price: $360

Title: Research on Fuzzy Clustering Algorithm WEKA-Based
Source: International Conference on Information, Electronic and Computer Science (ICIECS 2010 E-BOOK) (pp 1207-1210)
Author(s): Yongxiang Wang, Nanjing Artilery academic, Nanjing, China, 211132
Zaian Ren, Nanjing Artilery academic, Nanjing, China, 211132
Abstract: The data in Internet has a large scale and dynamic peculiarity and the discovered knowledge or rules are likely to be imprecise or incomplete generally. Owing to the introduction of Fuzzy theory and information entropy into the clustering analysis, we ravel out the difficulties and achieve the best the results of clustering by looking for Fuzzy similarity upper approximation. Moreover, we improved on the algorithm by making use of building Fuzzy similarity relationship on the data sets and constructing Fuzzy graph and then creating the least Fuzzy support-tree. The process of embedding the Fuzzy approximation algorithm into the WEKA platform in which the classes and visualization functions of open source WEKA is fully utilized. The Fuzzy approximation algorithms extended the clustering algorithm in the WEKA system. The experiment proves that it has a higher accuracy for the nominal data.
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