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 5 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 5 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»
12 years 11 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 6 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 4 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...