165 search results - page 6 / 33 » Adaptive dimension reduction for clustering high dimensional... |
ICDE
2002
IEEE
15 years 4 months ago
2002
IEEE
We consider the use of data reduction techniques for the problem of approximate query answering. We focus on applications for which accurate answers to selective queries are requi...
DMIN
2008
15 years 1 months ago
2008
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
ICML
2003
IEEE
16 years 13 days ago
2003
IEEE
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice,...
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ICDE
2003
IEEE
16 years 1 months ago
2003
IEEE
Clustering of large data bases is an important research area with a large variety of applications in the data base context. Missing in most of the research efforts are means for g...
SPEECH
1998
14 years 11 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...