SLK

This is the code for Scalable Laplacian K-modes (SLK) algorithm for large scale data clustering. If you use this code please cite the following NEURIPS 2018 paper:

Scalable Laplacian K-modes
Imtiaz Masud Ziko, Eric Granger and Ismail Ben Ayed
In Neural Information Processing Systems conference (NEURIPS), Montreal, Canada, December 2018.

Prerequisites

1. The code is tested on python 3.6. Install the requirements listed in (requirements.txt) using pip or conda.
2. Download the datasets features from google drive link.

Usage

To evaluate the code simply run the following script:

sh run_SLK_test.sh

Change the options inside the scripts accordingly. The options are fairly described in the script and in (main_SLK.py)

Example modes

Example modes found with SLK for MNIST

<div align="center"><img src="data/mnist_mode_mean.png" alt="" height="400" width="500"/></div> <!-- ## License This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details. -->