Parameter-free entropy-regularized multi-view clustering with hierarchical feature selection

Repository Maintainer: Kristina P. Sinaga (CNR-ISTI, Italy)

Notice: Coding modifications are currently underway in preparation for publication. The repository may change frequently during this process.

Overview

This repository provides MATLAB implementations for 17 multi-view clustering algorithms used in our A-FL-MVC paper: Parameter-free entropy-regularized multi-view clustering with hierarchical feature selection.

• Some algorithm codes were obtained from the original authors' websites and subsequently fixed and optimized.
• Folder names correspond to algorithm abbreviations in our paper (see below).

Reference Papers

Algorithm	Reference
Co-FKM	CoFKM: a centralized method for multiple-view clustering (2009)
RMKMC	Multi-View K-Means Clustering on Big Data (2013)
MultiNMF	Multi-view clustering via joint nonnegative matrix factorization (2013)
TW-k-means	TW-k-Means: Automated Two-Level Variable Weighting Clustering (2013)
WV-Co-FCM	Collaborative Fuzzy Clustering From Multiple Views (2015)
SWVF	Multi-view clustering via simultaneous weighting on views and features (2016)
WMCFS	Weighted Multi-view Clustering with Feature Selection (2016)
MinMax-FCM	Multi-view fuzzy clustering with minimax optimization (2017)
TW-Co-k-means	Two-level weighted collaborative k-means for multi-view clustering (2018)
FRMVK	A Feature-Reduction Multi-View k-Means Clustering Algorithm (2019)
Co-FW-MVFCM	Collaborative feature-weighted multi-view fuzzy c-means clustering (2021)
FedMVFCM, FedMVFPC	An Efficient Federated Multiview Fuzzy C-Means Clustering Method (2024)
MVKM-ED, GKMVKM	Rectified Gaussian kernel multi-view k-means clustering (2024)

Dataset

For dataset requests or questions, please contact:

Kristina P. Sinaga

Email: kristinapestaria.sinaga@isti.cnr.it