6 search results - page 1 / 2 » Density-based Projected Clustering over High Dimensional Dat... |
SDM
2012
SIAM
11 years 11 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 ...
ICDE
2009
IEEE
14 years 3 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...
APWEB
2006
Springer
14 years 9 days 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...
VLDB
2004
ACM
14 years 1 months ago
2004
ACM
CORR
2010
Springer
13 years 8 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...