complete_linkage_distance: Calculates the complete linkage distance between two clusters

Description Usage Arguments Value See Also

View source: R/distance.R

Description

Uses data from two matricies, representing a cluster each and calculates the complete linkage distance between each cluster.

The single linkage distance is the furthest distance between any two points between the two matricies.

Usage

1
complete_linkage_distance(matrix_1, matrix_2, distance = "euclidean")

Arguments

matrix_1

Data for cluster 1. Cell by reduced dimension components

matrix_2

Data for cluster 2 . Cell by reduced dimension components

distance

Point to point distance method to use. e.g. 'euclidean'.

Value

Real positive number representing the distance

See Also

Other cluster_distance: average_linkage_distance, centroid_linkage_distance, mahalanobis_distance, single_linkage_distance, ward_distance


sbrn3/disscat documentation built on Dec. 12, 2019, 7:54 a.m.