8 search results - page 2 / 2 » On the Initialisation of Sammon's Nonlinear Mapping |
153
Voted
NN
2002
Springer
15 years 1 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...
117
Voted
IDEAL
2004
Springer
15 years 7 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
16 years 3 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...