194 search results - page 15 / 39 » Self-organizing maps and symbolic data |
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— In this paper, we present a weighted Linde-BuzoGray algorithm (WLBG) as a powerful and efficient technique for compressing neural spike data. We compare this technique...
ESANN
2003
13 years 9 months ago
2003
Abstract. Recently, a new method intended to realize conformal mappings has been published. Called Locally Linear Embedding (LLE), this method can map high-dimensional data lying o...
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
The Self-Organizing Map is a popular neural network model for data analysis, for which a wide variety of visualization techniques exists. We present a novel technique that takes th...
NECO
1998
13 years 7 months ago
1998
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
IJON
2002
13 years 7 months ago
2002
The Self-Organizing Map, SOM, is a widely used tool in exploratory data analysis. A major drawback of the SOM has been the lack of a theoretically justified criterion for model se...