A Study of the Classification Capabilities of Neural Networks Using Unsupervised Learning: A Comparison with K-Means Clustering

A Study of the Classification Capabilities of Neural Networks Using Unsupervised Learning: A Comparison with K-Means Clustering

A simulation study compares nonhierarchical clustering capabilities of a class of neural networks using Kohonen learning with a K-means clustering procedure. The focus is on the ability of the procedures to recover correctly the known cluster structure in the data. Advantages and disadvantages of th...

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Bibliographic Details
Published in:Psychometrika Vol. 59; no. 4; p. 509
Main Author: Balakrishnan, P. V. (Sunder)
Format: Journal Article
Language:English
Published: Colorado Springs, Colo Psychometric Society, etc 01-12-1994
Subjects:
Classification
Cluster Analysis
Comparative Analysis
Computer Simulation
K Means Clustering
Kohonen (Teuvo)
Learning
Monte Carlo Methods
Neural Networks
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Summary:A simulation study compares nonhierarchical clustering capabilities of a class of neural networks using Kohonen learning with a K-means clustering procedure. The focus is on the ability of the procedures to recover correctly the known cluster structure in the data. Advantages and disadvantages of the procedures are reviewed. (SLD)
ISSN:0033-3123
DOI:10.1007/bf02294390