Fuzzy clustering-based on aggregate attribute method

被引：0

作者：

Wang, Jia-Wen ^{[1
]}

Cheng, Ching-Hsue ^{[1
]}

机构：

[1] Natl Yunlin Univ Sci & Technol, Dept Informat Management, Touliu, Yunlin, Taiwan

来源：

ADVANCES IN APPLIED ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2006年 / 4031卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：478 / 487

页数：10

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