summary.proximus: Summarizing Proximus Objects

In cba: Clustering for Business Analytics

Summarizing Proximus Objects

Description

summary method for an object of class proximus.

Usage

## S3 method for class 'proximus'
summary(object, ...)

Arguments

object	an object of class proximus.
...	further (unused) arguments.

Value

An object of class summary.proximus with the following elements:

nr	the number of rows of the approximated matrix.
nc	the number of columns of the approximated matrix.
error	the relative error of the total approximation.
fnorm	the Frobenius norm of the total approximation.
jsim	the Jaccard similarity of the total approximation.
valid	the number of patterns that satisfy the mining constraints.
pattern	a data.frame of pattern summaries:
pattern$Size	the absolute size of the presence set.
pattern$Length	the number of TRUE values of the dominant pattern.
pattern$Radius	the Hamming radius of the presence set.
pattern$Error	the relative error of the presence set.
pattern$Fnorm	the Frobenius norm of the presence set.
pattern$Jsim	the Jaccard similarity of the presence set.
pattern$Valid	a logical indicating if the constraints are satisfied.

Warning

The function may change in future releases

Author(s)

Christian Buchta

See Also

proximus for obtaining a result object.

Examples

### see proximus

cba documentation built on Dec. 7, 2022, 5:17 p.m.