KeLP is the Kernel-based Learning Platform developed in the Semantic Analytics Group of the University of Roma Tor Vergata.
This is the kernel-clustering module of KeLP. It contains clustering algorithms. The following algorithms are currently implemented:
- KernelBasedKMeansEngine: it is the implemetation of the clustering algorithm described in (Kulis '09). It is basically a kernel-based extention of the standard k-mean clustering algorithm.
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REFERENCES:
(Kulis '09) Brian Kulis, Sugato Basu, Inderjit Dhillon, and Raymond Mooney. Semi-supervised graph clustering: a kernel approach. Machine Learning, 74(1):1-22, January 2009.