public class KernelBasedClusteringExample
extends Object
This class contains an example of the usage of the Kernel-based clustering.
The clustering engine implements the Kernel Based K-means described in:
Brian Kulis, Sugato Basu, Inderjit Dhillon, and Raymond Mooney.
Semi-supervised graph clustering: a kernel approach. Machine Learning,
74(1):1-22, January 2009.
The source code are provided by Kelp in the kernel-clustering project.
The dataset used in this example is the IRIS dataset. It can be downloaded
from: https://archive.ics.uci.edu/ml/datasets/Iris
- Author:
- Danilo Croce