xx_Jaccard: Jaccard Index

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

Jaccard Index

Description

This function returns the Jaccard index for binary ids.

Usage

Jaccard.Index(x, y)

Arguments

x	true binary ids, 0 or 1.
y	predicted binary ids, 0 or 1.

Details

All ids, x and y, should be either 0 (not active) or 1 (active). Any value other than 1 will be converted to 0.

Value

Return the value of Jaccard 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)

x.id <- c(1, 1, 1, 0, 0, 0, 3, 3, 3)
y.id <- c(0, 1, 0, 1, 1, 1, 0, 1, 1)

Jaccard.Index(x.id, y.id)

EMCluster documentation built on Sept. 11, 2024, 5:27 p.m.