688 search results - page 21 / 138 » Identifying Clusters from Positive Data |
86
Voted
CLUSTER
2002
IEEE
15 years 5 months ago
2002
IEEE
With applications becoming larger and the increasing load on high performance systems, it is important to tackle the I/O bottleneck problem from several angles. It is not only ess...
108
Voted
SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
134
Voted
BMCBI
2007
15 years 16 days ago
2007
Background: The mechanisms underlying protein function and associated conformational change are dominated by a series of local entropy fluctuations affecting the global structure ...
ICIP
2001
IEEE
16 years 2 months ago
2001
IEEE
The proliferation of video content on the web makes similarity detection an indispensable tool in web data management, searching, and navigation. We have previously proposed a com...
103
Voted
KDD
2004
ACM
16 years 24 days ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...