cc_test_ari_permutation: A permutation test for testing the null hypothesis of random...

Description Usage Arguments Value Author(s) References Examples

Description

A permutation test for testing the null hypothesis of random agreement (i.e., adjusted Rand Index equal to 0) between two partitions.

Usage

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cc_test_ari_permutation(ground_truth, partition)

Arguments

ground_truth

[int] A vector of the actual membership of elements in clusters

partition

The partition coming from a clustering algorithm

Value

A data_frame with two columns:

ari

the adjusted Rand Index

p_value

the p-value of the test

Author(s)

Paola Tellaroli, <paola [dot] tellaroli [at] unipd [dot] it>; Livio Finos, <livio [dot] finos [at] unipd [dot] it>

References

Samuh M. H., Leisch F., and Finos L. (2014), Tests for Random Agreement in Cluster Analysis, Statistica Applicata-Italian Journal of Applied Statistics, vol. 26, no. 3, pp. 219-234.

L. Hubert and P. Arabie (1985) Comparing partitions, Journal of Classification, 2, 193-218.

Examples

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library(CrossClustering)

clusters <- iris[-5] %>%
  dist %>%
  hclust(method = 'ward.D') %>%
  cutree(k = 3)

ground_truth <- iris[[5]] %>% as.numeric()

CrossClustering:::cc_test_ari_permutation(ground_truth, clusters)

CrossClustering documentation built on May 1, 2019, 10:53 p.m.