180 search results - page 1 / 36 » Generalized Projected Clustering in High-Dimensional Data St... |
APWEB
2006
Springer
13 years 8 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
ICDE
2009
IEEE
13 years 11 months ago
2009
IEEE
— In this paper, we will study the problem of projected clustering of uncertain data streams. The use of uncertainty is especially important in the high dimensional scenario, bec...
SDM
2012
SIAM
11 years 6 months ago
2012
SIAM
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
SIGMOD
2000
ACM
13 years 8 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...
VLDB
2004
ACM
13 years 9 months ago
2004
ACM
