Clustering using EM-based Hill-Climbing on Kernel Density Estimation.
Alexander HinneburgHans-Henning GabrielPublished in: LWA (2007)
Keyphrases
- hill climbing
- kernel density estimation
- density estimation
- simulated annealing
- k means
- search space
- probability density function
- genetic algorithm ga
- clustering algorithm
- search strategy
- search algorithm
- unsupervised learning
- mean shift
- probability density
- search procedure
- density function
- object segmentation
- expectation maximization
- higher dimensional
- mixture model
- tabu search
- machine learning
- steepest ascent
- gaussian mixture model
- outlier detection
- em algorithm
- object detection
- image segmentation
- genetic algorithm
- bayesian framework
- generative model
- maximum likelihood estimation
- data points
- pairwise
- feature extraction