k-Medoids Clustering Based on Kernel Density Estimation and Jensen-Shannon Divergence.
Yukihiro HamasunaYuto KingetsuShusuke NakanoPublished in: MDAI (2019)
Keyphrases
- kernel density estimation
- jensen shannon divergence
- information theory
- information theoretic
- density function
- mean shift
- probability density function
- density estimation
- feature selection
- object segmentation
- mutual information
- higher dimensional
- probability density
- selection criterion
- machine learning
- segmentation algorithm
- feature space
- support vector
- computer vision