BCKM
Demo code for the paper "A Binary Opptimization Approach for Constrained K-Means Clustering" - In ACCV2018
Install / Use
npx skills add intellhave/BCKMInstalls into whichever agent you are using.
README
This repository contains the demo code for the following paper:
- Huu M. Le, Anders Eriksson, Thanh-Toan Do and Michael Milford - A Binary Opptimization Approach for Constrained K-Means Clustering - In Asian Conference on Computer Vision (ACCV) 2018. Arxiv link: https://arxiv.org/abs/1810.10134
The current implementation uses MOSEK as Linear Programming Solver. Please obtain a free academic version of MOESEK at: https://www.mosek.com/. An implementation using CXXPY will be available in future releases.
Usage: To run the demo with synthetic data, execute the following command:
python synthetic_experiments.py
This code was tested on an Ubuntu Machine with Python 2.7.
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