Fuzzy Clustering-based on aggregate attribute method

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Title:	Fuzzy Clustering-based on aggregate attribute method
Authors:	王佳文;Wang, Jia-Wen;Cheng, Ching-Hsue
Contributors:	電子商務管理學系
Date:	2006-06
Issue Date:	2015-10-05 17:09:14 (UTC+8)
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.
Relation:	Lecture Notes in Computer Science vol. 4031 pp.478-487
Appears in Collections:	[ Department of Electronic Commerce Management] Periodical Articles

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