BSkyKMeans: K-Means Cluster

In BlueSkyStatistics/BlueSky: BlueSky Collection of Functions for Data Access, Analysis, and Formatting.

K-Means Cluster

Description

Performs K-means clustering

Usage

BSkyKMeans(
  vars,
  centers,
  iter.max = 10,
  num.seeds = 10,
  storeClusterInDataset = FALSE,
  varNameForCluster = "",
  dataset,
  excludeEnvPrefix = FALSE
)

Arguments

vars	The variables to analyze in a vector of form c('var1','var2'...)
centers	either the number of clusters, say k, or a set of initial (distinct) cluster centers. If a number, a random set of (distinct) rows in x is chosen as the initial centers.
iter.max	the maximum number of iterations allowed.
num.seeds	The number of different starting random seeds to use. Each random seed results in a different k-means solution.
storeClusterInDataset	Save the cluster assignments to the dataset
varNameForCluster	The variable names for the assigned clusters
dataset	The dataset to analyze

BlueSkyStatistics/BlueSky documentation built on April 14, 2025, 7:39 a.m.