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Implementation of Multi-View Partitioning via Tensor Methods [Liu, Ji, Glänzel, Bart De Moo] [IEE,2014]

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Multiview Clustering

Research project by Maxence Giraud on "higher order clustering" supervized by Remy Boyer.

We first implement algorithms of multi-view spectral clustering presented in [1].

Installation

Requirements

The requirements are precised in the requirements.txt file, to install them :

pip install -r requirements.txt

To install simply clone the project :

git clone https://github.com/MaxenceGiraud/Multiview-Clustering
cd Multiview-Clustering/

Usage

import multiview_clustering as mc

# Compute your similarity matricies S = [S1,S2,...,Sk]
oi = mc.MC_FR_OI(n_clusters)
clusters= oi.fit_predict(S)

Experiments

My experiments are compiled in the python file experiments.py, either run it using IPython or simply with python command :

python3 experiments.py

References

[1] Multi-View Partitioning via Tensor Methods. (2013) Xinhai Liu, Shuiwang Ji, Wolfgang Glänzel, and Bart De Moor, Fellow, IEEE

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Implementation of Multi-View Partitioning via Tensor Methods [Liu, Ji, Glänzel, Bart De Moo] [IEE,2014]

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