clusDist: calculate distance between clustering results

In rwoldford/trec: Tree Reduced Ensemble Clustering

Description

calculate distance between clustering results

Usage

clusDist(clustering1, clustering2, ..., diag = FALSE, upper = FALSE)

Arguments

clustering1	result of some clustering, for example output from hclust(). A clustering can also be an n by m matrix, where n is the number of data points and m is the number of levels in the clustering hierarchy.
clustering2	result of a second clustering, to be combined with the first.
...	results of other clustering methods, to be combined with the first two.
diag	whether to plot the diagonal of distance matrix
upper	whether to plot the upper half of diagonal matrix

Examples

data <- rbind(matrix(rnorm(100, mean = 10, sd = 2), nrow = 50),
              matrix(rnorm(100, mean = 0, sd = 1), nrow = 50),
              matrix(rnorm(100, mean = -10, sd = 3), nrow = 50)
              )
clustering1 <- stats::hclust(dist(data),method='single')
clustering2 <- kmeans(data,centers=3)
clustering3 <- dbscan::dbscan(data,eps=.8)
res <- clusDist(clustering1,clustering2,clustering3)

rwoldford/trec documentation built on May 15, 2019, 6:29 p.m.