hypervolume_overlap_statistics: Overlap statistics for set operations (Sorensen, Jaccard,...

In dc165/Hypervolume-Dev: High Dimensional Geometry and Set Operations Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls

Description

Calculates overlap metrics for two hypervolumes

Usage

hypervolume_overlap_statistics(hvlist)

Arguments

hvlist

A set of hypervolumes calculated from hypervolume_set

Value

A set of multiple metrics

jaccard	Jaccard similarity (volume of intersection of 1 and 2 divided by volume of union of 1 and 2)
sorensen	Sorensen similarity (twice the volume of intersection of 1 and 2 divided by volume of 1 plus volume of 2)
frac_unique_1	Unique fraction 1 (volume of unique component of 1 divided by volume of 1))
frac_unique_2	Unique fraction 2 (volume of unique component of 2 divided by volume of 2))

Examples

## Not run: 
data(iris)
hv1 = hypervolume_gaussian(subset(iris, Species=="virginica")[,1:3])
hv2 = hypervolume_gaussian(subset(iris, Species=="versicolor")[,1:3])
hv_set <- hypervolume_set(hv1, hv2, check.memory=FALSE)

hypervolume_overlap_statistics(hv_set)

## End(Not run)

dc165/Hypervolume-Dev documentation built on Dec. 13, 2020, 6:02 p.m.