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Agreement-based Measures for Clustering

Source: R/agreement.R
agreement.Rd

Calculates the agreement between two partitions, typically the known actual cluster labels and the predicted cluster labels.

Usage

agreement(predicted, actual, method = "cRand", na_as_cluster = TRUE)

Arguments

predicted

a vector with predicted cluster labels.

actual

the known cluster labels (ground truth).

method

the used method (see clue::cl_agreement()).

na_as_cluster

logical; should NA labels (noise points) be considered its own cluster?

Details

This convenience function is an interface to clue::cl_agreement(). See methods in that man page for a list of available methods. A measure typically used for clustering is the corrected Rand index (also called adjusted Rand index). Numbers close to 1 indicate a very good agreement.

References

Hornik K (2005). A CLUE for CLUster Ensembles. Journal of Statistical Software, 14(12). doi:10.18637/jss.v014.i12

Examples

# Perfect agreement (1 and 2 are just switched)
actual <- c(2, 2, 1, 3, 2, NA)
predicted <- c(1, 1, 2, 3, 1, NA)
agreement(actual, predicted)
#> [1] 1

# No agreement
predicted <- sample(predicted)
agreement(actual, predicted)
#> [1] -0.25