A hierarchical modeling approach for clustering probability density functions.
Daniela G. CalòAngela MontanariCinzia ViroliPublished in: Comput. Stat. Data Anal. (2014)
Keyphrases
- probability density function
- density estimation
- density function
- clustering algorithm
- unsupervised learning
- k means
- kullback leibler divergence
- probability distribution
- data clustering
- uncertain objects
- parzen window
- kernel density estimation
- gaussian mixture
- expectation maximization
- class conditional
- higher order statistics
- neural network
- data sets
- gaussian mixture model
- uncertain data
- mixture model
- data points
- active learning
- query processing
- generalized gaussian
- feature selection