Classifiers – Related Routines
distmaha | Mahalanobis distance | more routines |
meancov | Estimation of means and covariance matrices from multiclass data | |
edicon | Edit and condense training sets | |
testk | Error estimation for k-nearest neighbour rule | |
testp | Error estimation for Parzen classifier | |
testn | Error estimate of discriminant on normal distributions | |
testc | General error estimation routine for trained classifiers | |
classc | Converts a mapping into a classifier | |
labeld | Find labels of objects by classification | |
rejectc | Creates reject version of exisiting classifier |
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.