MRMD2.0

MRMD2.0 Based on the PageRank algorithm, mainly using MRMD, ANOVA, MRMR, MIC, etc.

environment:
Ubuntu16.04 Python3.6 (refer to "requirements.txt" under github, execute "pip3 install -r requirements.txt",

Usage

python3 mrmd2.0.py -i input.csv -s start_index -e end_index -l Step_length -o metrics.csv -c Dimensionalized_dataset.csv

parameters
(1) -i the input dataset, supports csv,arff and libsvm
(2) -s the location where the user specified interval begins ��default 1��
(3) -e User-specified interval ending position ��default -1��
(4) -l step length ��default 1��Larger steps will execute faster, and smaller results will be better.��
(5) -m the numer of feature selections,You can not set this parameter, the program is to help you choose the best ��default -1��
(6) -o Some indicators of the dimensionality reduction data set
(7) -c Dimensionalized data set
(8) -h Program help Description

example:

python3 mrmd2.0.py -i test.csv -o metrics.csv -c Dimensionalized_dataset.csv

Download

We have got our project on Github. Please refer to the description of github for the latest version of MRMD2.0.

If you have any questions please contact me (heshida@tju.edu.cn)