Compute the compactness validity index for a clustering result.
Usage
compactness(data, labels)
Arguments
- data
a dataset with rows as observations, columns as variables
- labels
a vector of cluster labels from a clustering result
Value
the compactness score
Details
This index is agnostic to any reference clustering results, calculating
cluster performance on the basis of compactness and separability. Smaller
values indicate a better clustering structure.
References
MATLAB function valid_compactness by Simon Garrett in
LinkCluE
Examples
set.seed(1)
E <- matrix(rep(sample(1:4, 1000, replace = TRUE)), nrow = 100, byrow =
FALSE)
set.seed(1)
dat <- as.data.frame(matrix(runif(1000, -10, 10), nrow = 100, byrow = FALSE))
compactness(dat, E[, 1])
#> [1] 25.32475
