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Indexed by:会议论文

Date of Publication:2009-12-01

Included Journals:EI、Scopus

Volume:5

Issue:12

Page Number:4819-4824

Abstract:Stock category is an important issue in stock analysis, Ant clustering algorithm and Fuzzy C-Means (FCMJ) are two commonly used technologies for studying this problem. Howe ver there are some limits when just use each of them alone. Although the traditional ant clustering algorithm is capable of global searrhing and parallel computing. it also enst many problems including long time of clustering, poor convergence accuracy and so on. On the other hand, FOM is an effective clustering method, but it can not determine clustering n umber as well as clustering center by itself, which result will immerse into part optimal solution easily. So, we try to combine ant algorithm and FCM method to analyze the issue of stock categories. Ant algorithm is used to determine the clustering number and clustering center and clustering process can be dealt with FCM clustering algorithm. The results show that this new method can overcome the deficiencies of each single method and is morr reliable. ? 2009 ISSN.