fastboxes: Fastbox-Algorithm

In HendrikPfaff/Boxdrawing: Implementation of the boxdrawing algorithms in R

Description

Use the Fastbox-Algorithm for classification.

Usage

fastboxes(positiveTraining, negativeTraining, positiveTesting, negativeTesting,
  cSize, idealK, beta)

Arguments

positiveTraining	Positive training data.
negativeTraining	Negative training data.
positiveTesting	Positive test data.
negativeTesting	Negative test data.
cSize	The size that of weight for negative data to try. It will enumerate weight from 1/cSize, 2/cSize, etc... up to 1.
idealK	The number of clusters.
beta	The expansion parameter.

Value

A list containing training TP, training FP, testing TP, testing FP and the upper/lower ideal boundray.

Author(s)

Algorithm and Matlab-code by Cynthia Rudin and Siong Thye Go (see References). Translation to R by Hendrik Pfaff

HendrikPfaff/Boxdrawing documentation built on May 3, 2019, 3:38 p.m.