summary: Summary and print methods for kohonen objects

In e-sensing/kohonenDTW: Supervised and Unsupervised Self-Organising Maps for Satellite Image Time Series

Description

Summary and print methods for kohonenDTW objects. The print method shows the dimensions and the topology of the map; if information on the training data is included, the summary method additionally prints information on the size of the data and the mean distance of an object to its closest codebookvector, which is an indication of the quality of the mapping.

Usage

## S3 method for class 'kohonenDTW'
summary(object, ...)
## S3 method for class 'kohonenDTW'
print(x, ...)

Arguments

x, object	a kohonenDTW object
...	Not used.

Author(s)

Ron Wehrens

See Also

som, xyf, supersom

Examples

data(wines)
xyf.wines <- xyf(scale(wines), classvec2classmat(vintages),
                 grid = somgrid(5, 5, "hexagonal"))
xyf.wines
summary(xyf.wines)

e-sensing/kohonenDTW documentation built on May 27, 2019, 3:29 p.m.