DCC_childpoet

Deep Continuous Clustering branch adjusted for CHILD POET

Introduction

This is based on the Pytorch implementation of the DCC algorithms presented in the following paper (paper):

Sohil Atul Shah and Vladlen Koltun. Deep Continuous Clustering.

If you use this code in your research, please cite their paper.

@article{shah2018DCC,
	author    = {Sohil Atul Shah and Vladlen Koltun},
	title     = {Deep Continuous Clustering},
	journal   = {arXiv:1803.01449},
	year      = {2018},
}

Requirement

• Python >= 3.6
• Pytorch >= v1.1.0
• TensorboardX >= 2.4.1
• Other requirements as needed, see environment.yml file (not yet created).

Usage

For a full guide on how to use DCC, see the original repo by Atul and Koltun. For DCC adapted to CHILD POET, run the code in run_dcc_childpoet.sh (Remember to change input parameters in the script to suit your use case)