getHcluster: Hierarchical clustering given pairwise distances

In xhtai/cartridges: Algorithm to Compare Cartridge Case Images

Description

Hierarchical clustering given pairwise distances

Usage

getHcluster(allPairwise, pairColNums, distSimCol, linkage, myDist = TRUE)

Arguments

allPairwise	name of data frame containing all pairwise comparisons. This needs to have at least three columns, one representing the first item in the comparison, one representing the second item, and the last representing a similarity or distance metric. These are enumerated in the next two parameters.
pairColNums	vector of length 2 indicating the column numbers in 'allPairwise' of 1. item 1 in comparison, 2. item 2 in comparison
distSimCol	name of column in 'allPairwise' indicating distances or similarities, input as character, e.g. "l2dist". If this is a similarity and not a difference, input 'myDist' parameter to be FALSE
linkage	one of "single", "complete", "average", "centroid", "minimax"
myDist	is 'distSimCol' a distance or similarity measure? Default TRUE, i.e. distance measure

Value

tree (dendrogram) after hierarchical clustering

xhtai/cartridges documentation built on June 1, 2019, 2:58 p.m.