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JSYML
2000
103views more  JSYML 2000»
15 years 6 months ago
A Model Complete Theory of Valued D-Fields
The notion of a D-ring, generalizing that of a differential or a difference ring, is introduced. Quantifier elimination and a version of the AxKochen-Ershov principle is proven for...
Thomas Scanlon
ICML
2004
IEEE
16 years 7 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
BIBE
2007
IEEE
155views Bioinformatics» more  BIBE 2007»
16 years 1 months ago
Partial Mixture Model for Tight Clustering in Exploratory Gene Expression Analysis
Abstract—In this paper we demonstrate the inherent robustness of minimum distance estimator that makes it a potentially powerful tool for parameter estimation in gene expression ...
Yinyin Yuan, Chang-Tsun Li
IWCC
1999
IEEE
15 years 11 months ago
Design and Analysis of the Alliance/University of New Mexico Roadrunner Linux SMP SuperCluster
This paper will discuss high performance clustering from a series of critical topics: architectural design, system software infrastructure, and programming environment. This will ...
David A. Bader, Arthur B. Maccabe, Jason R. Mastal...
BMCBI
2011
15 years 1 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso