3721 search results - page 131 / 745 » Discriminative cluster analysis |
205
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
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...
126
click to vote
BIBE
2007
IEEE
15 years 9 months ago
2007
IEEE
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 ...
148
click to vote
IWCC
1999
IEEE
15 years 7 months ago
1999
IEEE
This paper will discuss high performance clustering from a series of critical topics: architectural design, system software infrastructure, and programming environment. This will ...
190
Voted
BMCBI
2011
14 years 10 months ago
2011
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...
128
click to vote
VLSID
2004
IEEE
16 years 3 months ago
2004
IEEE
With increasing demands for high performance by embedded systems, especially by digital signal processing applications, embedded processors must increase available instruction lev...