kmeans_iterations: Generate intermediate iterations when performing K-means

In jbkunst/klassets: Tools to simulate data set to teach Statistical Models and ML Algorithms

Generate intermediate iterations when performing K-means

Description

Generate intermediate iterations when performing K-means

Usage

kmeans_iterations(
  df,
  centers = 3,
  tolerance = 1e-05,
  max_iterations = 15,
  verbose = FALSE
)

Arguments

df	A object from sim_groups.
centers	How many clusters.
tolerance	A value to indicating early stop.
max_iterations	Max iterations to calculate.
verbose	A logical value, to show or not iterations messages.

Examples

set.seed(12)

df <- sim_groups(n = 200, groups = 3)

plot(df)

set.seed(124)

kmi <- kmeans_iterations(df, centers = 4, max_iterations = 6)

plot(kmi)

jbkunst/klassets documentation built on Dec. 7, 2022, 9:18 p.m.