R: 2-dimensional plots

plot_2d {ClusterR} | R Documentation

## 2-dimensional plots

### Description

2-dimensional plots

### 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.

### Value

a plot

### Author(s)

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)

[Package ClusterR version 1.2.2 Index]