A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator.
Hideitsu HinoNoboru MurataPublished in: Neural Comput. (2014)
Keyphrases
- clustering algorithm
- maximum likelihood
- central limit theorem
- nadaraya watson
- kernel regression
- density estimators
- density estimation
- fuzzy c means
- least squares
- data driven
- nonparametric density estimation
- maximum a posteriori
- bayesian modeling
- estimation algorithm
- k means
- data clustering
- fuzzy clustering
- selection criterion
- clustering method
- spectral clustering
- hierarchical bayesian
- maximum likelihood estimator
- parzen window
- data sets
- overlapping clusters
- error estimation
- importance sampling
- clustering analysis
- clustering quality
- subspace clustering
- data reduction
- parametric models
- document clustering
- cluster analysis