cluster_algorithm: Wrapper function to perform partition around medioids (PAM)...

Description Usage Arguments Details Value References Examples

View source: R/cluster-classifier.R

Description

In GSgalgoR, the partition around medioids (PAM) algorithm is the default clustering process used under the evolutionary process.

Usage

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Arguments

c

a dissimilarity matrix object of type 'dist'

k

positive integer specifying the number of clusters, less than the number of observations

Details

The function runs the pam function of the 'cluster' package with options cluster.only =TRUE, diss = TRUE, do.swap=TRUE, keep.diss=FALSE, keep.data = FALSE, pamonce= 2

Value

Returns a 'list' with the value '$cluster' which contains the cluster assignment of each of the samples evaluated

References

Examples

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# load example dataset
require(iC10TrainingData)
require(pamr)
data(train.Exp)

calculate_distance <- select_distance(distancetype = "pearson")
Dist <- calculate_distance(train.Exp)
k <- 4
Pam <- cluster_algorithm(Dist, k)
table(Pam$cluster)

harpomaxx/galgoR-package documentation built on Oct. 26, 2020, 7:05 a.m.