Kernel Clustering: Density Biases and Solutions.
Dmitrii MarinMeng TangIsmail Ben AyedYuri BoykovPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2019)
Keyphrases
- k means
- clustering algorithm
- similarity function
- clustering method
- neural network
- categorical data
- hierarchical clustering
- data clustering
- kernel function
- density based clustering algorithm
- kernel density estimator
- optimal solution
- cluster analysis
- knn
- arbitrary shape
- kernel machines
- kernel density estimation
- nonparametric density estimation
- density function
- density estimation
- solution space
- spectral clustering
- document clustering
- outlier detection
- simulated annealing
- feature space
- data mining