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COMPLIFE
2005
Springer
15 years 11 months ago
Robust Perron Cluster Analysis for Various Applications in Computational Life Science
In the present paper we explain the basic ideas of Robust Perron Cluster Analysis (PCCA+) and exemplify the different application areas of this new and powerful method. Recently, ...
Marcus Weber, Susanna Kube
PDPTA
2000
15 years 7 months ago
Performance Analysis of a Cluster File System
Design of cluster file system is very important for building a general-purpose cluster with commodity components. To provide scalable high I/O performance needed in the scientific...
Cong Du, Zhiwei Xu
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
IWCC
1999
IEEE
15 years 10 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