plot_2d_scaling: Constructs a 2-dimensional scaling plot based on a given...

In mlmts: Machine Learning Algorithms for Multivariate Time Series

Constructs a 2-dimensional scaling plot based on a given dissimilarity matrix.

Description

plot_2d_scaling represents a 2-dimensional scaling plane starting from a dissimilarity matrix.

Usage

plot_2d_scaling(distance_matrix, cluster_labels = NULL, title = "")

Arguments

distance_matrix	A distance matrix.
cluster_labels	The labels associated with the elements involving the entries in distance_matrix. The points in the plot are coloured according to these labels. If no labels are provided (default), all points are represented in the same colour.
title	The title of the graph (default is no title).

Details

Given a distance matrix, the function constructs the corresponding 2-dimensional scaling, which is a 2d plane in which the distances between the points represent the original distances as correctly as possible. If the vector cluster_labels is provided to the function, points in the 2d plane are coloured according to the given class labels.

Value

The 2-dimensional scaling plane.

Author(s)

Ángel López-Oriona, José A. Vilar

Examples

distance_matrix_qcd <- dis_qcd(SyntheticData1$data[1 : 30]) # Computing the pairwise
# distance matrix for the first 30 elements in dataset SyntheticData1 based on dis_qcd
plot_2d_scaling(distance_matrix_qcd, cluster_labels = SyntheticData1$classes[1 : 30])
# Constructing the corresponding 2d-scaling plot. Each class is represented
# in a different colour

mlmts documentation built on Sept. 11, 2024, 6:41 p.m.