194 search results - page 20 / 39 » Self-organizing maps and symbolic data |
ESANN
2006
13 years 9 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...
JCP
2008
13 years 8 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...
ICCBR
2007
Springer
14 years 2 months 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...
ICDAR
1999
IEEE
14 years 7 days 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...
AUSDM
2007
Springer
13 years 12 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...