plot_clustering: Graphic representation of the evaluation measures.

In Clustering: Techniques for Evaluating Clustering

Graphic representation of the evaluation measures.

Description

Graphical representation of the evaluation measures grouped by cluster.

Usage

plot_clustering(df, metric)

Arguments

df	data matrix or data frame with the result of running the clustering algorithm.
metric	it's a string with the name of the metric select to evaluate.

Details

In certain cases the review or filtering of the data is necessary to select the data, that is why thanks to the graphic representations this task is much easier. Therefore with this method we will be able to filter the data by metrics and see the data in a graphical way.

Value

Generate an image with the distribution of the clusters by metrics.

Examples

result = Clustering::clustering(
               df = cluster::agriculture,
               min = 4,
               max = 5,
               algorithm='gmm',
               metrics=c("Precision")
         )

Clustering::plot_clustering(result,c("Precision"))

Clustering documentation built on May 29, 2024, 5:54 a.m.