Compactness Measure
Compute the compactness validity index for a clustering result.
compactness(data, labels)
data |
a dataset with rows as observations, columns as variables |
labels |
a vector of cluster labels from a clustering result |
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.
the compactness score
Derek Chiu
MATLAB function valid_compactness by Simon Garrett in
LinkCluE
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])Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.