Degrees of Freedom and Model Selection for kmeans Clustering.
David P. HofmeyrPublished in: CoRR (2018)
Keyphrases
- model selection
- degrees of freedom
- k means
- cross validation
- clustering algorithm
- bayesian information criterion
- unsupervised learning
- data clustering
- hyperparameters
- parameter estimation
- motion planning
- pose estimation
- sample size
- cluster analysis
- statistical inference
- regression model
- variable selection
- clustering method
- path planning
- gaussian process
- feature selection
- robotic arm
- end effector
- model selection criteria
- mixture model
- machine learning
- configuration space
- selection criterion
- generalization error
- information criterion
- three dimensional
- image sequences
- joint space
- marginal likelihood
- parameter determination
- posterior distribution
- graphical models
- viewpoint
- video sequences
- computer vision