165 search results - page 22 / 33 » Adaptive dimension reduction for clustering high dimensional... |
84
Voted
IJCV
2008
14 years 11 months ago
2008
For software and more illustrations: http://www.psi.utoronto.ca/anitha/fastTCA.htm Dimensionality reduction techniques such as principal component analysis and factor analysis are...
90
Voted
TPDS
2008
14 years 11 months ago
2008
Peer-to-peer (P2P) systems have become a popular platform for sharing and exchanging voluminous information among thousands or even millions of users. The massive amount of inform...
IDEAL
2004
Springer
15 years 5 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...
IDEAL
2003
Springer
15 years 4 months ago
2003
Springer
To reduce the high dimensionality required for training of feature vectors in speaker identification, we propose an efficient GMM based on local PCA with Fuzzy clustering. The prop...
95
Voted
MLDM
2005
Springer
15 years 5 months ago
2005
Springer
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...