Description Usage Arguments Value Author(s) References Examples
A permutation test for testing the null hypothesis of random agreement (i.e., adjusted Rand Index equal to 0) between two partitions.
1 | cc_test_ari_permutation(ground_truth, partition)
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ground_truth |
[int] A vector of the actual membership of elements in clusters |
partition |
The partition coming from a clustering algorithm |
A data_frame with two columns:
ari |
the adjusted Rand Index |
p_value |
the p-value of the test |
Paola Tellaroli, <paola [dot] tellaroli [at] unipd [dot] it>; Livio Finos, <livio [dot] finos [at] unipd [dot] it>
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.
1 2 3 4 5 6 7 8 9 10 | 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)
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