arandi: (Adjusted) Rand Index for Clusterings
In mcclust: Process an MCMC Sample of Clusterings
arandi R Documentation
(Adjusted) Rand Index for Clusterings
Description
Computes the adjusted or unadjusted Rand index between two clusterings/partitions of the same objects.
Usage
arandi(cl1, cl2, adjust = TRUE)
Arguments
cl1,cl2
vectors of cluster memberships (need to have the same lengths).
adjust
logical. Should index be adjusted? Defaults to TRUE.
Details
The Rand index is based on how often the two clusterings agree in the treatment of pairs of observations,
where agreement means that two observations are in/not in the same cluster in both clusterings.
The adjusted Rand index adjusts for the expected number of chance agreements.
Formulas of Hubert and Arabie (1985) are used for the computation.
Author(s)
Arno Fritsch, arno.fritsch@tu-dortmund.de
References
Hubert, L. and Arabie, P. (1985): Comparing
partitions. Journal of Classification, 2, 193–218.
See Also
vi.dist
Examples
cl1 <- sample(1:3,10,replace=TRUE)
cl2 <- c(cl1[1:5], sample(1:3,5,replace=TRUE))
arandi(cl1,cl2)
arandi(cl1,cl2,adjust=FALSE)
mcclust documentation built on May 2, 2022, 5:05 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.
| arandi | R Documentation |
(Adjusted) Rand Index for Clusterings
Description
Computes the adjusted or unadjusted Rand index between two clusterings/partitions of the same objects.
Usage
arandi(cl1, cl2, adjust = TRUE)
Arguments
cl1,cl2 |
vectors of cluster memberships (need to have the same lengths). |
adjust |
logical. Should index be adjusted? Defaults to TRUE. |
Details
The Rand index is based on how often the two clusterings agree in the treatment of pairs of observations,
where agreement means that two observations are in/not in the same cluster in both clusterings.
The adjusted Rand index adjusts for the expected number of chance agreements.
Formulas of Hubert and Arabie (1985) are used for the computation.
Author(s)
Arno Fritsch, arno.fritsch@tu-dortmund.de
References
Hubert, L. and Arabie, P. (1985): Comparing partitions. Journal of Classification, 2, 193–218.
See Also
vi.dist
Examples
cl1 <- sample(1:3,10,replace=TRUE) cl2 <- c(cl1[1:5], sample(1:3,5,replace=TRUE)) arandi(cl1,cl2) arandi(cl1,cl2,adjust=FALSE)
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.