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SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 2 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
BMCBI
2011
12 years 9 months ago
Assessing the functional coherence of modules found in multiple-evidence networks from Arabidopsis
Background: Combining multiple evidence-types from different information sources has the potential to reveal new relationships in biological systems. The integrated information ca...
Artem Lysenko, Michael Defoin-Platel, Keywan Hassa...
CIKM
2009
Springer
13 years 10 months ago
Density-based clustering using graphics processors
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...
Christian Böhm, Robert Noll, Claudia Plant, B...
VTC
2008
IEEE
162views Communications» more  VTC 2008»
14 years 4 hour ago
A Selective Cluster Index Scheduling Method in OFDMA
—OFDM is an attractive solution for the design of future wireless communications due to its robustness to dispersion in multipath environments. Additional diversity gains can be ...
Marios Nicolaou, Angela Doufexi, Simon Armour
CVPR
2006
IEEE
14 years 7 months ago
Clustering Appearance for Scene Analysis
We propose a new approach called "appearance clustering" for scene analysis. The key idea in this approach is that the scene points can be clustered according to their s...
Sanjeev J. Koppal, Srinivasa G. Narasimhan