getClusterAnalysis: Computes the components and plots for the Cluster Analysis

In ptl93/AEDA: Automated Exploratory Data Analysis

Description

getClusterAnalysis computes the cluster analysis of numeric data

Usage

getClusterAnalysis(data, num.features, method, par.vals, random.seed,
  scale.num.data, cluster.cols)

Arguments

data	[data.frame] A Dataframe with different variables.
num.features	[character(length(numeric.features))] A character vector with length of the number of numeric features in the dataset. This will be computed automatically when calling this function.
method	[character(1L)] Method used for clustering
par.vals	[list()] Other arguments to be passed to selected method
random.seed	[integer(1L)] Random seed for clustering method
scale.num.data	[logical(1L)] Logical whether or not so scale numeric data for cluster analysis
cluster.cols	[character()] Selected columns in a named character vector to apply cluster analysis

Value

[list()] A list containing the cluster analysis and plot-code

ptl93/AEDA documentation built on May 7, 2019, 3:20 p.m.