Data Generation
circles3d | Create a dataset containing 2 circles in 3 dimensions | more routines |
lines5d | Create a dataset containing 3 lines in 5 dimensions | |
gendatgauss | Generation of multivariate Gaussian distributed data | |
gendatb | Generation of banana shaped classes | |
gendatc | Generation of circular classes | |
gendatd | Generation of two difficult classes | |
gendath | Generation of Highleyman classes | |
gendatl | Generation of Lithuanian classes | |
gendatm | Generation of 8 2d classes | |
gendatm | Generation of 4 2d multi-modal classes | |
gendats | Generation of two Gaussian distributed classes | |
gentrunk | Generation of Trunk’s example | |
gendatv | Generation of a very large dataset | |
genmdat | Generation of a multi-dimensional dataset | |
spirals | Generation of a two-class spiral dataset | |
prload | Load data and mat-files and convert into a dataset | |
prdatasets | Overview and download of standard datasets |
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.