Degrees of freedom and model selection for k-means clustering.
David P. HofmeyrPublished in: Comput. Stat. Data Anal. (2020)
Keyphrases
- degrees of freedom
- model selection
- cross validation
- pose estimation
- motion planning
- hyperparameters
- k means
- mixture model
- error estimation
- statistical inference
- regression model
- parameter estimation
- machine learning
- bayesian learning
- variable selection
- end effector
- sample size
- path planning
- clustering algorithm
- generalization error
- feature selection
- gaussian process
- robotic arm
- motion segmentation
- selection criterion
- model selection criteria
- training set
- three dimensional
- information criterion
- human hand
- joint space