Sciweavers

30 search results - page 1 / 6
» Deriving quantitative models for correlation clusters
Sort
View
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
14 years 10 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
GLOBECOM
2008
IEEE
13 years 10 months ago
Computing the Receive Spatial Correlation for a Multi-Cluster MIMO Channel Using Different Array Configurations
Spatial correlation among received signals has a significant impact on the performance of a multipleinput multiple-output (MIMO) system. In prior research, expressions were derived...
Ramya Bhagavatula, Robert W. Heath Jr.
TCOM
2010
79views more  TCOM 2010»
13 years 4 months ago
Power Correlation Coefficient of a Very General Fading Model in Maximal Ratio Combining
A very general fading scenario is considered for which exact, closed-form formulas for the correlation coefficient of the instantaneous power at the output of a Maximal Ratio Combi...
José Ricardo Mendes, Michel Daoud Yacoub, U...
CIBCB
2005
IEEE
13 years 11 months ago
A Transcriptional Approach to Gene Clustering
— We present an integrative method for clustering coregulated genes and elucidating their underlying regulatory mechanisms. We use multi-state partition functions and thermodynam...
Ilias Tagkopoulos
BMCBI
2010
126views more  BMCBI 2010»
13 years 10 months ago
Antisense DNA parameters derived from next-nearest-neighbor analysis of experimental data
Background: The enumeration of tetrameric and other sequence motifs that are positively or negatively correlated with in vivo antisense DNA effects has been a useful addition to t...
Donald M. Gray, Carla W. Gray, Byong-Hoon Yoo, Tzu...