MARI: Modified Adjusted Rand Index
In aricode: Efficient Computations of Standard Clustering Comparison Measures
MARI R Documentation
Modified Adjusted Rand Index
Description
A function to compute a modified adjusted rand index between two classifications as proposed by Sundqvist et al. in prep, based on a multinomial model.
Usage
MARI(c1, c2)
Arguments
c1
a vector containing the labels of the first classification. Must be a vector of characters, integers, numerics, or a factor, but not a list.
c2
a vector containing the labels of the second classification.
Value
a scalar with the modified ARI.
See Also
ARI, NID, NVI, NMI, clustComp
Examples
data(iris)
cl <- cutree(hclust(dist(iris[,-5])), 4)
MARI(cl,iris$Species)
aricode documentation built on Oct. 20, 2023, 5:07 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| MARI | R Documentation |
Modified Adjusted Rand Index
Description
A function to compute a modified adjusted rand index between two classifications as proposed by Sundqvist et al. in prep, based on a multinomial model.
Usage
MARI(c1, c2)
Arguments
c1 |
a vector containing the labels of the first classification. Must be a vector of characters, integers, numerics, or a factor, but not a list. |
c2 |
a vector containing the labels of the second classification. |
Value
a scalar with the modified ARI.
See Also
ARI, NID, NVI, NMI, clustComp
Examples
data(iris)
cl <- cutree(hclust(dist(iris[,-5])), 4)
MARI(cl,iris$Species)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.