clusterRange {MOMA} | R Documentation

## Cluster Range

### Description

This function generate an cluster structure with 'k' groups and computes the cluster reliability score where 'k' is a range of values

### Usage

    clusterRange(
      dis,
      range = c(2, 100),
      step = 1,
      cores = 1,
      method = c("pam", "kmeans"),
      data = NULL
    )

### Arguments

`dis` | Distance object
`range` | vector with start and end 'k'
`step` | Integer indicating the incremental number of clusters to add in each iteration
`cores` | Maximum number of CPU cores to use
`method` | Either 'pam' k-mediods or kmeans. Must supply the original data matrix if using kmeans
`data` | Original data matrix

### Value

list of cluster reliability scores by 'k', 'clustering' (the vector solution) and 'reliability' as well as 'medoids' labels

[Package MOMA version 1.4.0 Index]