Growing self-organizing map

Known as: GSOM 
A growing self-organizing map (GSOM) is a growing variant of the popular self-organizing map (SOM). The GSOM was developed to address the issue of… (More)
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Papers overview

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2015
2015
Semi-supervised clustering tries to surpass the limits of unsupervised clustering using extra information contained in occasional… (More)
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Review
2013
Review
2013
Based on the incremental nature of knowledge learning, in this study a growing self-organizing neural network approach for… (More)
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2010
2010
The growing self-organizing map (GSOM) is a variation of the popular self-organizing map (SOM). It was developed to address the… (More)
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2008
2008
Protein sequence analysis is an important task in bioinformatics. The classification of protein sequences into groups is… (More)
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2007
2007
In this paper, we introduce a new variant of growing self-organizing maps (GSOM) based on Alahakoon's algorithm for SOM training… (More)
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2006
2006
The growing self-organizing map algorithm (GSOM) has been developed based on SOM. With its dynamic structure, GSOM can generate… (More)
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2005
2005
Solving product yield and quality problems in a manufacturing process is becoming increasingly more difficult. There are various… (More)
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2004
2004
The growing self organizing map (GSOM) algorithm is a variant of the self organizing map (SOM). It has a dynamically growing… (More)
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1998
1998
The growing self-organizing map (GSOM), an extension of Kohonen’s self-organizing map algorithm, adapts not only the position of… (More)
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Highly Cited
1997
Highly Cited
1997
Neural maps project data from an input space onto a neuron position in a (often lower dimensional) output space grid in a… (More)
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