Vector quantization of images using modified adaptive resonance algorithm for hierarchical clustering

A modified adaptive resonance theory (ART2) learning algorithm, which we employ in this paper, belongs to the family of NN algorithms whose main goal is the discovery of input data clusters, without considering their actual size. This feature makes the modified ART2 algorithm very convenient for ima...

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Bibliographic Details
Published in:	IEEE transactions on neural networks Vol. 12; no. 5; pp. 1147 - 1162
Main Authors:	Vlajic, N., Card, H.C.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.09.2001
Subjects:	Adaptive algorithms Algorithms Clustering Clustering algorithms Compressing Data compression Decoding Entropy Image coding Image compression Image reconstruction Learning Minimization methods Neural networks Resonance Vector quantization
ISSN:	1045-9227
Online Access:	Get full text
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