33 search results - page 1 / 7 » A Dimension Reduction Approach Using Shrinking for Multi-Dim... |
IJIIP
2010
13 years 8 months ago
2010
BMCBI
2007
13 years 11 months ago
2007
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
ISBI
2004
IEEE
14 years 11 months ago
2004
IEEE
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
BMCBI
2010
13 years 11 months ago
2010
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...