Fuzzy clustering-based on aggregate attribute method

Authors:
Jia-Wen Wang;Ching-Hsue Cheng
Affiliations:
Department of Information Management, National Yunlin University of Science and Technology, Touliu, Yunlin, Taiwan, R.O.C.;Department of Information Management, National Yunlin University of Science and Technology, Touliu, Yunlin, Taiwan, R.O.C.
Venue:
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Year:
2006

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Abstract

This paper, we propose a fuzzy clustering-based on aggregate attribute method for classification tasks, which comprises three phases: (1) Calculate the aggregate attribute values. (2) Apply fuzzy clustering to cluster the aggregate values. (3) Predict the testing data’s class. For verifying proposed method, we use two datasets to illustrate our performance, the datasets are: (1) Iris; (2) Wisconsin-breast-cancer dataset. Finally, we compare with other methods; it is shown that our proposed method is better than other methods.