194 search results - page 20 / 39 » Self-organizing maps and symbolic data |
179
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ESANN
2006
15 years 7 months ago
2006
Topology preservation of Self-Organizing Maps (SOMs) is an advantageous property for correct clustering. Among several existing measures of topology violation, this paper studies t...
154
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JCP
2008
15 years 6 months ago
2008
The Self Organizing Map (SOM) involves neural networks, that learns the features of input data thorough unsupervised, competitive neighborhood learning. In the SOM learning algorit...
190
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ICCBR
2007
Springer
16 years 7 days ago
2007
Springer
Abstract. Case retrieval from a clustered case memory consists in finding out the clusters most similar to the new input case, and then retrieving the cases from them. Although th...
147
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ICDAR
1999
IEEE
15 years 10 months ago
1999
IEEE
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
158
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AUSDM
2007
Springer
15 years 10 months ago
2007
Springer
Population based real-life datasets often contain smaller clusters of unusual sub-populations. While these clusters, called `hot spots', are small and sparse, they are usuall...