Installation

You can install TensorClus with all the dependencies with:

pip install TensorClus

It will install the following libraries:

• numpy

• pandas

• scipy

• scikit-learn

• matplotlib

• coclust

• tensorly

• tensorflow

Install from GitHub repository

To clone TensorClus project from github:

# Install git LFS via https://www.atlassian.com/git/tutorials/git-lfs
# initialize Git LFS
git lfs install Git LFS initialized.
git init Initialized
# clone the repository
git clone https://github.com/boutalbi/TensorClus.git
cd TensorClus
# Install in editable mode with `-e` or, equivalently, `--editable`
pip install -e .

Note

The latest TensorClus development sources are available on https://github.com/boutalbi/TensorClus

Running the tests

In order to run the tests, you have to install nose, for example with:

pip install nose

You also have to get the datasets used for the tests:

git clone https://github.com/boutalbi/TensorClus.git

And then, run the tests:

cd cclust_package
nosetests --with-coverage --cover-inclusive --cover-package=TensorClus