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» A Statistical Clustering Model and Algorithm
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BMCBI
2010
171views more  BMCBI 2010»
15 years 2 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
WCNC
2008
IEEE
15 years 8 months ago
Analysis of Interference from Large Clusters as Modeled by the Sum of Many Correlated Lognormals
Abstract—We examine the statistical distribution of the interference produced by a cluster of very many co-channel interferers, e.g., a sensor network, or a city full of active w...
Sebastian S. Szyszkowicz, Halim Yanikomeroglu
BMCBI
2007
146views more  BMCBI 2007»
15 years 2 months ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
CIKM
2009
Springer
15 years 8 months ago
Cross-language linking of news stories on the web using interlingual topic modelling
We have studied the problem of linking event information across different languages without the use of translation systems or dictionaries. The linking is based on interlingua in...
Wim De Smet, Marie-Francine Moens
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...