Influence of cluster center selection on clustering by hybrid neural network model

The paper deals with application of hybrid neural network model consisting of OM-PCNN and Projective ART for multidimensional data clustering. This paper points out the impact of cluster center selection for parameter σ in the Projective ART, which affects the number of clusters and the clustering a...

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Main Authors: Krakovsky, R., Forgac, R., Mokris, I.
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Clustering algorithms
Neural networks
Neurons
Subspace constraints
Testing
Training
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creator Krakovsky, R.
Forgac, R.
Mokris, I.
description The paper deals with application of hybrid neural network model consisting of OM-PCNN and Projective ART for multidimensional data clustering. This paper points out the impact of cluster center selection for parameter σ in the Projective ART, which affects the number of clusters and the clustering accuracy.
doi_str_mv 10.1109/LINDI.2012.6319494
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Accuracy
Clustering algorithms
Neural networks
Neurons
Subspace constraints
Testing
Training
title Influence of cluster center selection on clustering by hybrid neural network model
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