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» Classes and clusters in data analysis
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96
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MICCAI
2006
Springer
15 years 11 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim
RECOMB
2006
Springer
15 years 10 months ago
Permutation Filtering: A Novel Concept for Significance Analysis of Large-Scale Genomic Data
Permutation of class labels is a common approach to build null distributions for significance analyis of microarray data. It is assumed to produce random score distributions, which...
Stefanie Scheid, Rainer Spang
78
Voted
FGCS
2006
121views more  FGCS 2006»
14 years 10 months ago
Real-time multi-scale brain data acquisition, assembly, and analysis using an end-to-end OptIPuter
At iGrid 2005 we demonstrated the transparent operation of a biology experiment on a test-bed of globally distributed visualization, storage, computational, and network resources....
Rajvikram Singh, Nicholas Schwarz, Nut Taesombut, ...
KES
2008
Springer
14 years 10 months ago
Data Mining for Navigation Generating System with Unorganized Web Resources
Users prefer to navigate subjects from organized topics in an abundance resources than to list pages retrieved from search engines. We propose a framework to cluster frequent items...
Diana Purwitasari, Yasuhisa Okazaki, Kenzi Watanab...
95
Voted
SAC
2010
ACM
15 years 5 months ago
Background knowledge in formal concept analysis: constraints via closure operators
The aim of this short paper is to present a general method of using background knowledge to impose constraints in conceptual clustering of object-attribute relational data. The pr...
Radim Belohlávek, Vilém Vychodil