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Allow to limit number of clusters for clusteriness

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This commit is contained in:
Elias Projahn 2022-06-16 19:45:59 +02:00
parent 3df4ec5d89
commit 2529f35660
3 changed files with 21 additions and 2 deletions
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14
R/method_clustering.R
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@ -12,7 +12,13 @@
#' relation to the previous one. For example, if `weight` is 0.7 (the
#' default), the first cluster will weigh 1.0, the second 0.7, the third 0.49
#' etc.
clusteriness <- function(data, span = 100000, weight = 0.7) {
#' @param n_clusters Maximum number of clusters that should be taken into
#' account. By default, all clusters will be regarded.
#'
#' @return A score between 0.0 and 1.0 summarizing how much the data clusters.
#'
#' @export
clusteriness <- function(data, span = 100000, weight = 0.7, n_clusters = NULL) {
n <- length(data)
# Return a score of 0.0 if there is just one or no value at all.
@ -31,6 +37,12 @@ clusteriness <- function(data, span = 100000, weight = 0.7) {
score <- 0.0
for (i in seq_along(cluster_sizes)) {
if (!is.null(n_clusters)) {
if (i > n_clusters) {
break
}
}
cluster_size <- cluster_sizes[i]
if (cluster_size >= 2) {