clusteriness: Perform a cluster analysis.
In johrpan/geposan: Gene Position Analysis

clusteriness

R Documentation

Perform a cluster analysis.

Description

This function will cluster the data using stats::hclust() and stats::cutree(). Every cluster with at least two members qualifies for further analysis. Clusters are then ranked based on their size in relation to the total number of values. The return value is a final score between 0.0 and 1.0. Lower ranking clusters contribute less to this score.

Usage

clusteriness(data, span = 1e+06, weight = 0.5)

Arguments

`data`	The values that should be scored.
`span`	The maximum span of values considered to be in one cluster.
`weight`	The weight that will be given to the next largest cluster in relation to the previous one. For example, if `weight` is 0.5 (the default), the first cluster will weigh 1.0, the second 0.5, the third 0.25 etc.