partitionComparison: Implements Measures for the Comparison of Two Partitions

Provides several measures ((dis)similarity, distance/metric, correlation, entropy) for comparing two partitions of the same set of objects. The different measures can be assigned to three different classes: Pair comparison (containing the famous Jaccard and Rand indices), set based, and information theory based. Many of the implemented measures can be found in Albatineh AN, Niewiadomska-Bugaj M and Mihalko D (2006) <doi:10.1007/s00357-006-0017-z> and Meila M (2007) <doi:10.1016/j.jmva.2006.11.013>. Partitions are represented by vectors of class labels which allow a straightforward integration with existing clustering algorithms (e.g. kmeans()). The package is mostly based on the S4 object system.

Package details

AuthorFabian Ball [aut, cre, cph, ctb], Andreas Geyer-Schulz [cph]
MaintainerFabian Ball <[email protected]>
LicenseMIT + file LICENSE
Version0.2.5
URL https://github.com/KIT-IISM-EM/partitionComparison
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("partitionComparison")

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partitionComparison documentation built on May 2, 2019, 4 p.m.