merge: Merge States of an EMM

In rEMM: Extensible Markov Model for Modelling Temporal Relationships Between Clusters

Merge States of an EMM

Description

Merge several clusters/states of an EMM into a single cluster/state.

Usage

## S4 method for signature 'EMM,character'
merge_clusters(x, to_merge, clustering = FALSE, new_center = NULL, copy=TRUE)

Arguments

x	an "EMM" object. Note that the function will change this EMM!
to_merge	vector of names of the states/clusters to merge. The name of the first state in to_merge is used as the name for the new state representing the merged states.
clustering	is to_merge a vector with cluster assignments as created by a clustering algorithm?
new_center	supply new centers for the merged clusters. New centroids are automatically computed. If (pseudo) medoids are used, new medoids should be supplied. If none is supplied, the medoid of the cluster in to_merge which has the most assigned observations is used as the new medoid (warning: this is probably not a good medoid!)
copy	logical; make a copy of x before reclustering? Otherwise the function will change x!

Value

Returns the changed EMM with the states/clusters merged invisibly. If copy=FALSE then it returns a reference to the changes object passed as x.

Examples

data("EMMTraffic")
emm <- EMM(measure="eJaccard", threshold=0.2)
build(emm, EMMTraffic)
states(emm)

## create a new emm with states 1-3 merged
emm_m123 <- merge_clusters(emm, c("1", "2", "3"))
states(emm_m123)

rEMM documentation built on June 26, 2022, 1:06 a.m.