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95
Voted
LWA
2007
15 years 2 months ago
2007
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
107
Voted
TCSB
2008
15 years 17 days ago
2008
Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints, namely exchanging two or more time points is not...
141
Voted
KDD
2003
ACM
16 years 1 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
82
Voted
CCGRID
2005
IEEE
15 years 6 months ago
2005
IEEE
With the growing popularity of cluster architectures in datacenters and the sophistication of computer attacks, the design of highly secure clusters has recently emerged as a crit...
111
Voted
ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based principally on low-level visual features for whic...