calc.dist.clusters: INTERNAL

In tamartsi/Aclust: Clustering functions and analysis pipeline for methylation outcome data based on clustering and GEEs

Description

Calculates distance between two clusters

Usage

calc.dist.clusters(clust.1, clust.2, type = "single", dist.type = "spearman")

Arguments

clust.1	An (n by $m_1$) matrix of $m_1$ vectors composing a cluster
clust.2	An (n by $m_2$) matrix of $m_2$ vectors composing a cluster
type	Clustering by cor
dist.type	type: “single”, “complete”, or “average”

Details

The distance between the clusters is if type = “single": the minimum of the distances between the vectors in clust.1 and the vectors in clust.2 if type = “complete": the maximum of the distances between the vectors in clust.1 and the vectors in clust.2 if type = “average": the mean of the distances between the vectors in clust.1 and the vectors in clust.2

Value

A numeric value, the distance between clust.1 and clust.2

tamartsi/Aclust documentation built on May 31, 2019, 2:56 a.m.