A Sensitivity Analysis of the Self Organizing Maps as an Adaptive One-pass Non-stationary Clustering Algorithm: the Case of Color Quantization of Image Sequences

In this paper we study the sensitivity of the Self Organizing Map to several parameters in the context of the one-pass adaptive computation of cluster representatives over non-stationary data. The paradigm of Non-stationary Clustering is represented by the problem of Color Quantization of image sequ...

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Bibliographic Details
Published in:Neural processing letters 1997-12, Vol.6 (3), p.77-89
Main Authors: Gonzalez, A.I, Graña, M, D'Anjou, A, Albizuri, F.X, Cottrell, M
Format: Article
Language:English
Subjects:
Algorithms
Clustering
Color
Image sequencing
Parameter sensitivity
Self organizing maps
Sensitivity analysis
Online Access:Get full text
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Summary:In this paper we study the sensitivity of the Self Organizing Map to several parameters in the context of the one-pass adaptive computation of cluster representatives over non-stationary data. The paradigm of Non-stationary Clustering is represented by the problem of Color Quantization of image sequences.
ISSN:1370-4621
1573-773X
DOI:10.1023/A:1009663723152