Usage
plot_2d(data, clusters, centroids_medoids)
Arguments
- data
a 2-dimensional matrix or data frame
- clusters
numeric vector of length equal to the number of rows of the data, which is the result of a clustering method
- centroids_medoids
a matrix of centroids or medoids. The rows of the centroids_medoids should be equal to the length of the unique values of the clusters and
the columns should be equal to the columns of the data.
Details
This function plots the clusters using 2-dimensional data and medoids or centroids.
Author
Lampros Mouselimis
Examples
# data(dietary_survey_IBS)
# dat = dietary_survey_IBS[, -ncol(dietary_survey_IBS)]
# dat = center_scale(dat)
# pca_dat = stats::princomp(dat)$scores[, 1:2]
# km = KMeans_rcpp(pca_dat, clusters = 2, num_init = 5, max_iters = 100)
# plot_2d(pca_dat, km$clusters, km$centroids)