MATLAB implementations of Subspace Clustering Algorithms.
Subkit currently implements the following algorithms:
- Sparse Subspace Clustering
- Low-Rank Subspace Clustering
- Robust and Effcient Subspace Segmentation via Least Squares Regression
- Correlation Adaptive Subspace Segmentation by Trace Lasso
Spatial Penalised Variants:
- [Spatial Subspace Clustering] 5
- Ordered Subspace Clustering
- Low Rank Sequential Subspace Clustering
Multi-task and Collaborative Variants:
Cite "Segmentation of Subspaces in Sequential Data" by Stephen Tierney, Yi Guo and Junbin Gao
Please lso provide a direct link to this webpage somewhere in your paper (https://github.com/sjtrny/SubKit)
@article{tierney2015segmentation,
title={Segmentation of Subspaces in Sequential Data},
author={Tierney, Stephen and Guo, Yi and Gao, Junbin},
journal={arXiv preprint arXiv:1504.04090},
year={2015}
}
The research project is supported by the Australian Research Council (ARC) through the grant DP130100364.