There are 2 repositories under subspace-clustering topic.
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
Clustering / Subspace Clustering Algorithms on MATLAB
Implementing Clustering Algorithms from scratch in MATLAB and Python
A MATLAB library for sparse representation problems
Data Science and Matrix Optimization course
Matlab implementation of multi-view low-rank sparse subspace clustering
Code for the ICPR2020 Oral paper "Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning"
A new efficient subspace and K-Means clustering based method to improve Collaborative Filtering
Clustering related books and research papers.
Official Tensorflow Code for the paper "Overcomplete Deep Subspace Clustering Networks" - WACV 2021
Massive Sparse Data Clustering Based on Frequent Items (SIGMOD 2023)
Matlab implementation of L0 motivated low-rank sparse subspace clustering
A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering
Subspace clustering and coclustering course at the School of Electrical and Computer Engineering (FEEC-UNICAMP)
A toolbox for Weighted Sparse Simplex Representation (WSSR).
Matlab code for the Neural Networks 2026 paper "One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering".
CLICKS finds subspace clusters in categorical data using a k-partite clique mining approach.
Numpy and pyCUDA implementation of subKmeans
A Java software package that implements Projective Clustering Ensembles (PCE)
Visualisation of different steps of the P3C Subspace Clustering Algorithm
Code for the ICPR2020 Oral paper "Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning"
This repository provides the implementation of the Group-Sparse Subspace Clustering (SSC) method with the innovative Elastic Stars (ES) regularization.