pamward: PAM from k-solution of hierarchical clustering

In TraMineRextras: TraMineR Extension

PAM from k-solution of hierarchical clustering

Description

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

Usage

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

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 Jan. 9, 2024, 3:01 p.m.