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.
- The code is tested on python 3.6. Install the requirements listed in (requirements.txt) using pip or conda.
- Download the datasets features from google drive link.
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 found with SLK for MNIST
