766 search results - page 1 / 154 » Clustering high dimensional data using subspace and projecte... |
CORR
2010
Springer
13 years 11 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
14 years 3 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
14 years 4 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
14 years 7 days 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
14 years 5 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...