8 search results - page 2 / 2 » On the Initialisation of Sammon's Nonlinear Mapping |
NN
2002
Springer
13 years 4 months ago
2002
Springer
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We consider the problem of dimensionality reduction, where given high-dimensional data we want to estimate two mappings: from high to low dimension (dimensionality reduction) and f...