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

被引：15

作者：

Gonzalez, AI

Grana, M

DAnjou, A

Albizuri, FX

Cottrell, M

机构：

[1] UPV,EHU,DEPT CCIA,SAN SEBASTIAN 20080,SPAIN

[2] UNIV PARIS 01,INST SAMOS,F-75231 PARIS 05,FRANCE

来源：

NEURAL PROCESSING LETTERS | 1997年 / 6卷 / 03期

关键词：

non-stationary clustering; one-pass adaptation; self organizing map;

D O I：

10.1023/A:1009663723152

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：77 / 89

页数：13

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