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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Editor
Cihan H. Dagli
Cihan H. Dagli
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ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008

This paper presents a clustering technique for information retrieval based on fuzzy cluster based covariance for interval-valued data. We propose to define the fuzzy cluster based covariance then extend this covariance to a fuzzy cluster based covariance for interval-valued data. For this extension, we use conventional probabilistic theory on the interval, the ordinal statistical definition for covariance, and fuzzy logic to obtain the fuzzy clusters. Validity of the proposed clustering method is shown by using several numerical examples and multidimensional scaling.

Abstract
Introduction
Fuzzy Clustering
Fuzzy Cluster Based Covariance for Single-Valued Data
Fuzzy Cluster Based Covariance for Interval-Valued Data
Numerical Examples
Conclusion
References
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