Skip to content

Matlab code for the methods presented in the paper "Multi-target feature selection through output space clustering"

Notifications You must be signed in to change notification settings

Choupan/2019-Multi-target-feature-selection

 
 

Repository files navigation

2019 - Information theoretic multi-target feature selection via output space quantization (under review)

Matlab code for the methods presented in:

K. Sechidis, E. Spyromitros-Xioufis and I. Vlahavas, Information theoretic multi-target feature selection via output space quantization (under review)

Group-JMI-Rand: a novel multi-target FS criterion

  • Group_JMI_Rand.m - Implements our novel multi-target feature selection method

Tutorials

The tutorial 'Tutorial_Multi_label_FS.m' presents how to select features from multi-label datasets using our suggested method, while the tutorial 'Tutorial_Multivariate_regression_FS.m' presents how to select featues from multivariate-regression datasets.

About

Matlab code for the methods presented in the paper "Multi-target feature selection through output space clustering"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • MATLAB 100.0%