pamward: PAM from k-solution of hierarchical clustering

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/pamward.R

Description

Runs a pam clustering (pam) from the solution in k groups of a hierarchical clustering (agnes) .

Usage

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pamward(diss, k=3, method="ward", dist)

Arguments

diss

Distance matrix or object.

k

Integer. Number of clusters.

method

Method for the hierarchical clustering (see agnes).

dist

Deprecated. Use diss instead.

Details

The function first runs the hierarchical clustering, retrieves the medoids of the solution for the provided k and uses those medoids as start centers for the pam partitioning.

Value

An object of class "pam". See pam.object for details.

Author(s)

Gilbert Ritschard

See Also

agnes and pam.

Examples

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library(cluster)
data(actcal)
actcal.seq <- seqdef(actcal[1:200,13:24])
actcal.ham <- seqdist(actcal.seq, method = "HAM")
clust <- pamward(actcal.ham, k = 4)
table(clust$clustering)

TraMineRextras documentation built on Feb. 2, 2018, 3 a.m.