inter_diss: Interbox Dissimilarity
In ao90/PRIM: Patient Rule Induction Method (PRIM)

Description Usage Arguments Details

This Function calculates the interbox dissimilarity between two boxes defined on one data set.

1	inter_diss(fixbox1, fixbox2, data)

`fixbox1`	first object of class "`fixbox`".
`fixbox2`	second object of class "`fixbox`".
`data`	original data used to calculate the supports needed for the interbox dissimilarity. If this argument is missing `data_orig` from `fixbox1` is used as `data`.

The interbox dissimilarity is a diagnostic tool of PRIM measuring the dissimilarity between two boxes B_k and B_l. It is defined as the difference between the smallest box B_{kl} that covers both boxes and the support of their union.

The interbox dissimilarity can assume values between 0 and 1. While nested boxes have a dissimilarity of 0, it gets bigger the more different the two boxes are.

ao90/PRIM documentation built on May 5, 2019, 8:01 p.m.