Yinjie Huang
University of Central Florida
2013
###CONTENTS###
- General Information
- Requirements
- Installation
- Usage
- Citation
=============================================
###GENERAL INFORMATION###
This software was written to implement the algorithm "Reduced-Rank Local Distance Metric Learning". All rights belong to the author.
###REQUIREMENTS###
To run this software, you need to have the following components installed:
- Mathworks MATLAB
###INSTALLATION###
This software doesn't require any installation. Just drop the files into a folder.
###USAGE###
-
Please put the data set in the folder 'Data'. The data format is '<Dimension+1> X <# of data>'. The last row is the label of the data.
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To run the software, run the file 'Demo.m' in which many parameters could be set. Please refer to the paper how to setup these parameters.
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If you want to save the testing result label, please go to '\Functions\R2LML'. Uncomment line 81. The label will be saved automatically.
###Citation###
Please cite the following paper:
- Yinjie Huang, Cong Li, Michael Georgiopoulos and Georgios C Anagnostopoulos, 'Reduced-Rank Local Distance Metric Learning', ECML/PKDD 2013.