Visualizing fuzzy points in parallel coordinates

被引：36
作者：
Berthold, MR [1 ]
Hall, LO
机构：
[1] Tripos Inc, Data Anal Res Lab, San Francisco, CA 94080 USA
[2] Univ S Florida, Dept Comp Sci & Engn, Tampa, FL 33620 USA
来源：
IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2003年 / 11卷 / 03期
基金：
美国国家航空航天局;
关键词：
fuzzy rules; parallel coordinates; visualization;
D O I：
10.1109/TFUZZ.2003.812696
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Exploratory data analysis heavily relies on methods to visualize data and models in a user friendly and interpretable manner. We show how models consisting of a collection of fuzzy points can be visualized in parallel coordinates. In contrast to existing techniques that display only lines representing centroids or shaded areas showing the general variance of cluster centers, the proposed technique shows the spread of the fuzzy membership in each dimension in detail. This allows for a better interpretation of overlap in fuzzy rules.
引用
收藏
页码：369 / 374
页数：6
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