tsne-plotter

This is Matlab script for plotting 2 Dimensional and 3 Dimensional t-Distributed Stochastic Neighbor Embedding (t-SNE)

t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets. The technique can be implemented via Barnes-Hut approximations, allowing it to be applied on large real-world datasets. For more information, check this page.

How to use?

1. Clone this repository.
2. How the Dataset and label should be arranged ?
   1. The script requires two inputs - Data and Label.
   2. Arrangement of Data - First column should be "label name" and rest of the columns should be "features".
   3. Arrangement of Label - First column should be "label name" , which should be in the same order as Data's label names.
   4. Each row in both Data and Label is a sample.
3. Replace the Data and Label in folder inputs directory with the same name.
4. Run the script tsne_example.m.
5. The code will generate both 2D and 3D t-sne plots.

Examples of Data,Label and t-sne plots have been included with this repository. Sample 2D and 3D t-sne plots for the given sample inputs are as follows :

Issue / Want to Contribute ? :

Open a new issue or do a pull request incase your are facing any difficulty with the code base or you want to contribute to it.