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Feature Analysis

by Iftekhar Tanveer

 

09 Mar 2010 (Updated 17 Oct 2011)

This program analyzes an arff file (weka)

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Description

This program uses LDA and PCA to analyze features from weka arff file. The projection on PCA and LDA space visualizes the goodness of the features. If the features are good enough to be classified well they should have some kind of separation when projected on a 1 dimensional LDA or a 3 dimensional PCA space.

This MATLAB script assumes that the arff file has 2 classes named "Positive" and "Negative". However, it can be extended into any amount of class labels.

MATLAB release MATLAB 7.8 (R2009a)
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Comments and Ratings (2)
10 Sep 2010 Przemo :)

Hye,
I have a question about Regu parameter that is optional in LDA procedure. I receive smaller classifiaction error (smaller about 10%) when I set it to 1. Why does the paraemter influence the output result so much ?
Thanks a lot !

28 Jul 2011 Ahmed Rabbi

% Eishob ajgubi jinish shudhu MATLAB ei shombhob

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Updates
07 Jun 2010

I've made the LDA space from 1D to 2D. Also included some sample arff files to read.

07 Jun 2010

Just changed the title

17 Oct 2011

Coded for more general use

Tag Activity for this File
Tag Applied By Date/Time
pca Iftekhar Tanveer 10 Mar 2010 10:27:20
lda Iftekhar Tanveer 10 Mar 2010 10:27:21
feature selection Iftekhar Tanveer 10 Mar 2010 10:27:21
visualization Iftekhar Tanveer 10 Mar 2010 10:27:21
arff Iftekhar Tanveer 10 Mar 2010 10:27:21
weka Iftekhar Tanveer 10 Mar 2010 10:27:21
arff Julian Liu 26 May 2010 13:06:09
feature selection J.Rajeesh Rajeesh 19 Aug 2010 12:02:38
lda Muhammet 16 Nov 2011 10:06:16

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