clustering_validation: Create a table containing three validation metrics for...

In ehymet: Methodologies for Functional Data Based on the Epigraph and Hypograph Indices

Create a table containing three validation metrics for clustering: Purity, F-measure and Rand Index (RI)

Description

Create a table containing three validation metrics for clustering: Purity, F-measure and Rand Index (RI)

Usage

clustering_validation(true_labels, clusters)

Arguments

true_labels	Atomic vector with the true labels of the data.
clusters	The clusters predicted by the clustering method.

Value

A table containing values for Purity, F-measure and RI.

Examples

set.seed(1221)
vars1 <- c("dtaEI", "dtaMEI")
data <- ehymet::sim_model_ex1()
true_labels <- c(rep(1, 50), rep(2, 50))
data_ind <- generate_indices(data)
clus_kmeans <- ehymet::clustInd_kmeans(data_ind, list(vars1))
cluskmeans_mahalanobis_dtaEIdtaMEI <- clus_kmeans$kmeans_mahalanobis_dtaEIdtaMEI$cluster
clustering_validation(true_labels, cluskmeans_mahalanobis_dtaEIdtaMEI)

ehymet documentation built on June 22, 2024, 10:50 a.m.