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Originally a PyCaffe implementation of "Unsupervised Deep Embedding for Clustering Analysis" but now designed to categorize different images.

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Deep Embedded Clustering

The original code for the DEC was from piiswrong/dec.

This package implements the algorithm described in paper "Unsupervised Deep Embedding for Clustering Analysis". It depends on opencv, numpy, scipy and Caffe.

Usage

After cloning the repository, run python main.py with the command-line arguments.

Docker

A Dockerfile has been provided to create a sterile development environment easily. To build the environment, run docker build --rm -t image_dec . and then docker run --rm -it image_dec /bin/bash to shell into the running container. Alternatively, nvidia-docker can be used to enable GPU capability.

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Originally a PyCaffe implementation of "Unsupervised Deep Embedding for Clustering Analysis" but now designed to categorize different images.

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