Mutual Information computation

A self-contained package for computing mutual information, joint/conditional probability, entropy

이 제출물을 팔로우합니다

A self-contained, cross-platform, package for computing mutual information, joint/conditional probability, entropy, and more. This package has also been used for general machine learning and data mining purposes such as feature selection, Bayesian network construction, signal processing, etc.

Another related package for minimal redundancy feature selection is also available at the Matlab Central exchange site, under the category of "Biotech and Pharmaceutical".

A simple demo is called demo_mi.m.

*** Please note that downloading or use of this package means acceptance of the license of this package. In short, this package is free to non-profit use but cannot be re-distributed in any form, including revised forms, without the explicit permission for the author, Hanchuan Peng. See readme file for further information. ***

인용 양식

Hanchuan Peng (2026). Mutual Information computation (https://kr.mathworks.com/matlabcentral/fileexchange/14888-mutual-information-computation), MATLAB Central File Exchange. 검색 날짜: .

카테고리

Help CenterMATLAB Answers에서 Statistics and Machine Learning Toolbox에 대해 자세히 알아보기

일반 정보

MATLAB 릴리스 호환 정보

  • 모든 릴리스와 호환

플랫폼 호환성

  • Windows
  • macOS
  • Linux
버전 퍼블리시됨 릴리스 정보 Action
1.0.0.0

a missing include file linked to Matlab mex.h and matrix.h