runHclust: runHclust

Description Usage Arguments Value See Also

View source: R/cluster.R

Description

Hierarchical cluster analysis on a set of dissimilarities and methods for analyzing it.

Usage

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runHclust(
  object,
  k = 25,
  hclust.method = "complete",
  dist.method = "euclidean",
  verbose = FALSE
)

Arguments

object

an FSPY object

k

numeric. The number of clusters.

hclust.method

character or a function. The agglomeration method to be used. This should be one of "ward.D", "ward.D2", "single", "complete", "average", "mcquitty", "median" or "centroid". Or you can specify an equation as input, for example function(x) hclust(x,method = 'ward.D2').

dist.method

character or a function. The distance measure to be used. This must be one of "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski". Or you can specify an equation as input, for example function(x) as.dist((1-cor(t(x)))/2).

verbose

logical. Whether to print calculation progress.

Value

An FSPY object with cluster

if (FALSE) fspy <- runHclust(fspy, k = 9, verbose = TRUE)

See Also

hclust, dist


flowSpy documentation built on Nov. 8, 2020, 6:53 p.m.