This Matlab code is used for demonstration of using t-SNE with Isolation kernel.
Written by Ye Zhu, Deakin University, July 2021, version 1.0.
This software is under GNU General Public License version 3.0 (GPLv3)
This code is a demo of method described by the following publication: Zhu, Y. and Ting, K.M., 2021, July. Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel. Journal of Artificial Intelligence Research.
The published version can be obtained at: https://jair.org/index.php/jair/article/view/12904
Simply replacing Gaussian kernel with Isolation kernel in t-SNE significantly improves the quality of the final visualisation output (without creating misrepresented structures) and removes one key obstacle that prevents t-SNE from processing large datasets.
