Code Directory
 Visual Basic & VB.NET
New Code
C# QR Code Generator
Salesforce WordPress Customer Portal 3.2.0
Single Leg MLM 1.2.1
OzGIS 14.6
Quick Maps For Dynamics CRM 3.1
Job Board Software 4.2
PHP Real Estate Script 1.3.2
IP2Location Geolocation Database April.2019
dbForge Data Generator for Oracle 2.1
VisualNEO Web 2018.12.15
SentiMask SDK Trial 1.0.0
OrgChart JS 4.6.4
dotConnect for BigCommerce 1.8
FedEx Smart Shipping For Magento 1.0.0
Database Workbench Pro
Top Code
Job Board Software 4.2
AppControls 3.7.4
PileCard 1.0
ManageEngine ADAudit Plus 4.0
2D / 3D CAD Import .NET: DWG, DXF, PLT 8.0
Joyfax Broadcast 8.30.0225
ANSMTP SMTP email component 7.0
Polar SpellChecker Component 5.0
DBQwikEdit Pro 2.4
Javascript Code Improver 1.00
HTMLPad 2007 Pro 8.3
Oracle to MySQL database converter
JavaScript Spell Check 2.4
VISCOM Video Capture FLV MP4 SDK ActiveX 3.25
microOLAP Technologies LLC 1.9.6
Top Rated
VisualNEO Web 2018.12.15
Paste phpSoftPro 1.4.1
Deals and Discounts Website Script 1.0.2
ADO.NET Provider for ExactTarget 1.0
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
Invoice Manager by PHPJabbers 3.0
ICPennyBid Penny Auction Script 4.0
PHP Review Script 1.0
ATN Resume Finder 2.0
ATN Site Builder 3.0
Availability Booking Calendar PHP 1.0
PHP GZ Blog Script 1.1
ATN Jobs Software 4.0
Feature Selection using Matlab 1.0
File ID: 77637

Feature Selection using Matlab 1.0
Download Feature Selection using Matlab 1.0http://www.mathworks.comReport Error Link
License: Freeware
File Size: 3.2 MB
Downloads: 516
User Rating:1 Stars  (1 rating)
Submit Rating:
Feature Selection using Matlab 1.0 Description
Description: The DEMO includes 5 feature selection algorithms:
d-deD? Sequential Forward Selection (SFS)
d-deD? Sequential Floating Forward Selection (SFFS)
d-deD? Sequential Backward Selection (SBS)
d-deD? Sequential Floating Backward Selection (SFBS)
d-deD? ReliefF

Two CCR estimation methods:
d-deD? Cross-validation
d-deD? Resubstitution

After selecting the best feature subset, the classifier obtained can be used for classifying any pattern.

Figure: Upper panel is the pattern x feature matrix
Lower panel left are the features selected
Lower panel right is the CCR curve during feature selection steps
Right panel is the classification results of some patterns.

This software was developed using Matlab 7.5 and Windows XP.

Copyright: D. Ververidis and C.Kotropoulos
AIIA Lab, Thessaloniki, Greece,

In order to run the DEMO:

In order to run the demo:
- A PC with Windows XP is needed.
- Use Matlab7.5 or later to run DEMO.m

1) Select the d-de?finalvec.matd-deOao dataset (patterns x [features+1] matrix) from 'PatTargMatrices' folder. The last column of d-de?finalvec.matd-deOao are the targets.
2) Press the run button on the panel. It is the second one.
3) After the selection of the optimum feature set, select a set of patterns for classification using the open folder button (last button). It can be the same data-set that was used for training the feature selection algorithm

[1] D. Ververidis and C. Kotropoulos, "Fast and accurate feature subset selection applied into speech emotion recognition," Els. Signal Process., vol. 88, issue 12, pp. 2956-2970, 2008.
[2] D. Ververidis and C. Kotropoulos, "Information loss of the Mahalanobis distance in high dimensions: Application to feature selection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 31, no. 12, pp. 2275-2281, 2009.

License: Freeware

Related: press, Button, targets, Column, Folder, Algorithm, Training, Select, optimum, pattargmatrices, Features, matlab, needed, demoin, Order, demom, Patterns

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 3.2 MB

Downloads: 516

More Similar Code

MATLAB code for "Computational Statistics: Feature Selection, Regularization, and Shrinkage"

This package is the mRMR (minimum-redundancy maximum-relevancy) feature selection method in (Peng et al, 2005 and Ding & Peng, 2005, 2003), whose better performance over the conventional top-ranking method has been demonstrated on a number of...

This code removes a feature from data file which it considers bearing least amount of relevant information.
It's usage intended to classification problems. It is based on fuzzy measures and similarity. Much wider description, explanation and...

Slides, software, and data for the MathWorks webinar, "Using MATLAB to Develop Macroeconomic Models." The file contains a file moneydemo.pdf with slides for the webinar and a collection of MATLAB scripts and helper...

"Dynamical Systems with Applications using MATLAB" covers standard material for an introduction to dynamical systems theory. The text deals with both discrete and continuous systems.

There are applications in mechanical...

Two source code files of the mRMR (minimum-redundancy maximum-relevancy) feature selection method in (Peng et al, 2005 and Ding & Peng, 2005, 2003), whose better performance over the conventional top-ranking method has been demonstrated on a...

Update 2011: An example application is included which shows a 2D plot using Matlab formulas. Requires MFC. Visual Studio 2008 is recommended, but the project should work in other versions.

Another update is more correct support for...

Programs from the third edition of 'Advanced Mathematics and Mechanics Applications Using MATLAB', by Howard Wilson, Louis Turcotte and David Halpern, CRC Press, 2003, ISBN 1-58488-262-X. Contains about 12,000 lines of MATLAB programs and...

Read and Write Values from and to the Registry using Matlab.

Contains: source code and documentation.

September 13, 2006

This is a self-contained package for running feature selection filters: Given a (usually large) number of noisy and partly redundant variables and a target choose a small but indicative subset as input to a classification or regression...

User Review for Feature Selection using Matlab
- required fields

Please enter text on the image