502 search results - page 70 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
FTML
2010
13 years 7 months ago
2010
We give a tutorial overview of several geometric methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the da...
KES
2007
Springer
14 years 2 months ago
2007
Springer
This paper reports on the unsupervised analysis of seismic signals recorded in Italy, respectively on the Vesuvius volcano, located in Naples, and on the Stromboli volcano, located...
BMCBI
2010
13 years 8 months ago
2010
Background: Standardization of analytical approaches and reporting methods via community-wide collaboration can work synergistically with web-tool development to result in rapid c...
ISNN
2004
Springer
14 years 2 months ago
2004
Springer
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...