xx_RRand: Rand Index and Adjusted Rand Index

In snoweye/EMCluster: EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution

Rand Index and Adjusted Rand Index

Description

This function returns the Rand index and the adjusted Rand index for given true class ids and predicted class ids.

Usage

RRand(trcl, prcl, lab = NULL)

Arguments

trcl	true class ids.
prcl	predicted class ids.
lab	known ids for semi-supervised clustering.

Details

All ids, trcl and prcl, should be positive integers and started from 1 to K, and the maximums are allowed to be different.

lab used in semi-supervised clustering contains the labels which are known before clustering. It should be positive integer and started from 1 for labeled data and 0 for unlabeled data.

Value

Return a Class RRand contains Rand index and adjusted Rand index.

Author(s)

Wei-Chen Chen [e-mail] and Ranjan Maitra.

References

https://www.stat.iastate.edu/people/ranjan-maitra

Examples

library(EMCluster, quietly = TRUE)

true.id <- c(1, 1, 1, 2, 2, 2, 3, 3, 3)
pred.id <- c(2, 1, 2, 1, 1, 1, 2, 1, 1)
label   <- c(0, 0, 0, 0, 1, 0, 2, 0, 0)

RRand(true.id, pred.id)
RRand(true.id, pred.id, lab = label)

snoweye/EMCluster documentation built on Sept. 12, 2023, 4:57 a.m.