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APWEB
2006
Springer
8 years 8 months ago
Generalized Projected Clustering in High-Dimensional Data Streams
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...
Ting Wang
ICDE
2009
IEEE
170views Database» more  ICDE 2009»
8 years 11 months ago
On High Dimensional Projected Clustering of Uncertain Data Streams
— 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...
Charu C. Aggarwal
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
6 years 6 months ago
Density-based Projected Clustering over High Dimensional Data Streams
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 ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
SIGMOD
2000
ACM
165views Database» more  SIGMOD 2000»
8 years 8 months ago
Finding Generalized Projected Clusters In High Dimensional Spaces
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...
Charu C. Aggarwal, Philip S. Yu
VLDB
2004
ACM
126views Database» more  VLDB 2004»
8 years 9 months ago
A Framework for Projected Clustering of High Dimensional Data Streams
Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Phil...
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