Density-based Kernel Scale estimation for Kernel clustering.
Sofiane SellahOlfa NasraouiPublished in: IISA (2013)
Keyphrases
- clustering algorithm
- clustering method
- kernel function
- support vector
- k means
- feature space
- component analysis
- information theoretic
- outlier detection
- kernel density estimation
- subspace clustering
- kernel methods
- cluster analysis
- anomaly detection
- density based clustering
- kernel density
- class separability
- kernel space
- density based clustering algorithm
- convolution kernel
- semi supervised
- categorical data
- kernel matrix
- multiple kernel learning
- spectral clustering
- kernel learning
- linear combination
- spatial clustering
- principal component analysis
- nearest neighbor
- knowledge discovery
- neural network
- data sets