766 search results - page 1 / 154 » Clustering high dimensional data using subspace and projecte... |
CORR
2010
Springer
13 years 4 months ago
2010
Springer
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
SIGMOD
2000
ACM
13 years 9 months ago
2000
ACM
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
WIRN
2005
Springer
13 years 10 months ago
2005
Springer
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
DASFAA
2007
IEEE
13 years 11 months ago
2007
IEEE
Subspace clustering (also called projected clustering) addresses the problem that different sets of attributes may be relevant for different clusters in high dimensional feature sp...