discretizeUnsupervised: Unsupervised Discretization

In kliegr/arc: Association Rule Classification

Unsupervised Discretization

Description

Discretizes provided numeric vector.

Usage

discretizeUnsupervised(
  data,
  labels = FALSE,
  infinite_bounds = FALSE,
  categories = 3,
  method = "cluster"
)

Arguments

data	input numeric vector.
labels	a logical indicating whether the bins of the discretized data should be represented by integer codes or as interval notation using (a;b] when set to TRUE.
infinite_bounds	a logical indicating how the bounds on the extremes should look like.
categories	number of categories (bins) to produce.
method	clustering method, one of "interval" (equal interval width), "frequency" (equal frequency), "cluster" (k-means clustering). See also documentation of the discretize function from the arules package.

Value

Discretized data. If there was no discretization specified for some columns, these are returned as is.

Examples

  discretizeUnsupervised(datasets::iris[[1]])

kliegr/arc documentation built on Aug. 21, 2023, 6:44 p.m.