766 search results - page 12 / 154 » Clustering high dimensional data using subspace and projecte... |
FGR
2000
IEEE
14 years 1 months ago
2000
IEEE
We present two methods using mixtures of linear subspaces for face detection in gray level images. One method uses a mixture of factor analyzers to concurrently perform clustering...
ICDM
2008
IEEE
14 years 3 months ago
2008
IEEE
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
IDA
1999
Springer
14 years 26 days ago
1999
Springer
Grand tour is a method for viewing multidimensional data via linear projections onto a sequence of two dimensional subspaces and then moving continuously from one projection to the...
APBC
2004
13 years 10 months ago
2004
Huge amount of gene expression data have been generated as a result of the human genomic project. Clustering has been used extensively in mining these gene expression data to find...
PAKDD
2005
ACM
14 years 2 months ago
2005
ACM
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...