Uncovering hierarchical structure in data using the growing hierarchical self-organizing map
type: Item
instance of: scholarly article
title: Uncovering hierarchical structure in data using the growing hierarchical self-organizing map
zbMATH Open document ID: 1006.68798
DOI: 10.1016/S0925-2312(01)00655-5
author: Michael Dittenbach
author: Andreas Rauber
author: Dieter Merkl
published in: Neurocomputing
publication date: 2003-01-09T00:00:00Z
Mathematics Subject Classification ID: 68U99
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 1851832
zbMATH Keywords: Self-organizing map (SOM)
zbMATH Keywords: Unsupervised hierarchical clustering
zbMATH Keywords: Document classification
zbMATH Keywords: Data mining
zbMATH Keywords: Exploratory data analysis
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 1851832