A kernel k-means clustering algorithm based on an adaptive Mahalanobis kernel.
Marcelo Rodrigo Portela FerreiraFrancisco de A. T. de CarvalhoPublished in: IJCNN (2014)
Keyphrases
- kernel function
- sparse kernel
- support vector
- kernel machines
- kernel methods
- feature space
- kernel regression
- partial least squares regression
- real time
- convolution kernel
- string kernels
- kernel density estimation
- component analysis
- gaussian processes
- similarity function
- semi supervised
- multi class
- active learning
- clustering algorithm
- machine learning
- data sets