33 search results - page 1 / 7 » A Dimension Reduction Approach Using Shrinking for Multi-Dim... |
IJIIP
2010
13 years 2 months ago
2010
BMCBI
2007
13 years 5 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 5 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 5 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 5 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 ...