Greedy Feature Grouping for Optimal Discriminant Subspaces

Published on Feb 25, 20073624 Views

Subspace, Latent Structure and Feature Selection Techniques 2005 - Bohinj

Greedy Feature Grouping for Optimal Discriminant Subspaces00:08

Overview00:50

Motivation01:27

Curse of dimensionality02:51

Support Vector Machines04:20

Support Vector Machines Nonlinear Kernel Functions04:48

Classifier design04:51

Adverse Outcome05:38

True Positive06:46

Convex Hull of ROC Curves08:35

Feature selection in classification10:12

PARCEL: Feature subset selection10:42

Gene Expression Microarrays11:09

Inference problems in Microarray Data14:59

Gene Expression Microarrays16:33

Inference problems in Microarray Data16:38

Subspaces of gene expressions18:21

Yeast Gene Classification: [ Switch to MATLAB here ]19:07

Discriminant Subspaces22:20

Seemingly similar models23:01

Algorithm24:13

Another view…25:20

Another view…26:05

Block diagonal scatter matrix27:04

Simulations27:29

Simulations27:37

AML / ALL Leukaemia data28:29

Conclusions29:46