30 search results - page 6 / 6 » Density-Connected Subspace Clustering for High-Dimensional D... |
SSDBM
2006
IEEE
13 years 11 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
ICCSA
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, we propose a new clustering procedure for high dimensional microarray data. Major difficulty in cluster analysis of microarray data is that the number of samples to ...
IEEEVAST
2010
12 years 11 months ago
2010
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...
MM
2005
ACM
13 years 10 months ago
2005
ACM
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...