26 search results - page 2 / 6 » GTM: The Generative Topographic Mapping |
NECO
1998
13 years 4 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 ...
CCGRID
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
SPEECH
1998
13 years 4 months ago
1998
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
HPDC
2010
IEEE
13 years 6 months ago
2010
IEEE
Visualization of large-scale high dimensional data tool is highly valuable for scientific discovery in many fields. We present PubChemBrowse, a customized visualization tool for c...
IJCSS
2000
13 years 5 months ago
2000
The process of extracting knowledge from data involves the discovery of patterns of interest which may be implicit, for instance, in speci