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ASME Press Select Proceedings

Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17

Editor
C. H. Dagli
C. H. Dagli
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ISBN-10:
0791802655
No. of Pages:
650
Publisher:
ASME Press
Publication date:
2007

A weighted principal component analysis based on the result of fuzzy clustering has been proposed. The merit of this analysis is to obtain the result of the principal component analysis considered the dissimilarity structure of objects in the high dimensional space. The dissimilarity structure is represented through weights of objects which show how each object contributes to the classification structure based on the dissimilarity of objects in the high dimensional space. Since the degree of contribution is defined by a function, according to the change of the function, the weights will be changed. This paper proposes weighted principal component analysis...

Abstract
Introduction
Fuzzy Clustering
Weighted Principal Component Analysis for Intervalvalued Data
Weight Functions
Numerical Examples
Conclusion
References
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