CDF-TS: An effective way to equalise cluster densities

Versión 1.0 (249 KB) por YE
We propose to transform a given dataset by homogenising cluster density while preserving the cluster structure of the dataset.
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Actualizado 13 abr 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

Citar como

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

Compatibilidad con la versión de MATLAB
Se creó con R2021a
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Versión Publicado Notas de la versión
1.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.