Indicative Support Vector Clustering is an extension to original SVC algorithm by integrating user given labels. The work is based on the publication in [1].
- Matlab
- Matlab 2013b or newer
- CVX Matlab
- Statistical Pattern Recognistion Toolbox
- Python
- Python 2.x
- Sci-kit learn
- cvx-opt
- Matplotlib
Huang Xiao, Technische Universität München, xiaohu@in.tum.de
Bojan Kolosnjaji, Technische Universität München, kolosnjaji@sec.in.tum.de
#References [1] Xiao, Huang, and Claudia Eckert. Indicative Support Vector Clustering with its Application on Anomaly Detection. In IEEE 12th International Conference on Machine Learning and Applications (ICMLA'13), Miami, Florida, December 2013.