Growing Hierarchical Self-Organizing Map for Images Hierarchical Clustering

被引：0

作者：

Buczek, Bartlomiej M. ^{[1
]}

Myszkowski, Pawel B. ^{[1
]}

机构：

[1] Wroclaw Univ Technol, Appl Informat Inst, Artif Intelligence Dept, PL-51370 Wroclaw, Poland

来源：

COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, PT I | 2011年 / 6922卷

关键词：

Growing Hierarchical Self-Organizing Map; Images Clustering; Hierchical Images Clustering;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents approaches to hierarchical clustering of images using a GHSOM in application as image search engine. It is analysed some hierarchical clustering and SOMs variants. Experiments are based on benchmark ICPR, and MIRFlickr image datasets. As quality of gained solution the external and the internal measures are analysed.

引用

页码：52 / 61

页数：10

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