CDF-TS: An effective way to equalise cluster densities

Version 1.0 (249 KB) by YE
We propose to transform a given dataset by homogenising cluster density while preserving the cluster structure of the dataset.
13 Downloads
Updated 13 Apr 2021

This Matlab code is used for the demonstration of the effect of CDF-TS as a preprocessing method to transform data.

Written by Ye Zhu, Deakin University, April 2021, version 1.0.

This code is a demo of the method described by the following publication: Zhu, Y., Ting, K.M., Carman, M. and Angelova, M., 2021, April. CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities. Pattern Recognition. https://doi.org/10.1016/j.patcog.2021.107977

The preprint version can be obtained at https://arxiv.org/abs/1810.02897

Cite As

YE (2024). CDF-TS: An effective way to equalise cluster densities (https://github.com/zhuye88/CDF-TS/releases/tag/1.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.