Traditional Machine Learning Methods
Traditional Machine Learning Methods
Some statistics
Model-dependent analysis
Likelihood
Classification
Decision trees
Random forests
Material classification
Clustering
k
-means clustering
Gaussian mixture models
Recovering ToF
Dimensionality reduction
Principal Component Analysis
PCA in action
PCA for edge detection
Bayesian model selection
Bayes’ theorem
Nested sampling
How many layers?
References
repository
open issue
Index