Representation – Density Estimation
gaussm | Mixture of Gaussians density estimation | more routines | |
knnm | k-Nearest neighbor density estimation | ||
parzenm | Parzen density estimation | ||
parzenml | Optimization of smoothing parameter in Parzen density estimation. |
elements:
datasets
datafiles
cells and doubles
mappings
classifiers
mapping types.
operations:
datasets
datafiles
cells and doubles
mappings
classifiers
stacked
parallel
sequential
dyadic.
user commands:
datasets
representation
classifiers
evaluation
clustering
examples
support routines.
introductory examples:
Introduction
Scatterplots
Datasets
Datafiles
Mappings
Classifiers
Evaluation
Learning curves
Feature curves
Dimension reduction
Combining classifiers
Dissimilarities.
advanced examples.