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A neuro-fuzzy approach to agglomerative clustering

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4 Author(s)
Joshi, A. ; Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA ; Ramakrishnan, N. ; Rice, J.R. ; Houstis, E.N.

In this paper, we introduce a new agglomerative clustering algorithm in which each pattern cluster is represented by a collection of fuzzy hyperboxes. Initially, a number of such hyperboxes are calculated to represent the pattern samples. Then, the algorithm applies multi-resolution techniques to progressively “combine” these hyperboxes in a hierarchial manner. Such an agglomerative scheme has been found to yield encouraging results in real-world clustering problems

Published in:

Neural Networks, 1996., IEEE International Conference on  (Volume:2 )

Date of Conference:

3-6 Jun 1996