ward_distance: Calculates the ward distance between two clusters

In sbrn3/disscat: Calculates Distances Between Single Cell RNA Seq Categories

Description

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

The ward distance is the increase in variance that results in merging two clusters. The greater the variance cost of merging clusters, the greater the difference between the two clusters.

Usage

ward_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, complete_linkage_distance, mahalanobis_distance, single_linkage_distance

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