EMM: Creator for Class "EMM"

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

Creator for Class "EMM"

Description

Create a new object of class "EMM".

Usage

EMM(threshold = 0.2, measure = "euclidean", distFun = NULL, 
    centroids = identical(tolower(measure), "euclidean"), 
    lambda = 0, data = NULL)

Arguments

threshold	Object of class "numeric" with the dissimilarity threshold used by the clustering algorithm for assigning a new observation to existing clusters.
measure	Object of class "character" containing the name of the dissimilarity measure used (see dist in proxy for available measures).
distFun	Specify a function passed on as method to dist in proxy (see dist in proxy). The character string passed on as measure will be used as the measure's name.
centroids	Object of class "logical" indicating if centroids are used for clusters. If FALSE, pseudo medians (first observation of a cluster) are used to represent a cluster.
lambda	Object of class "numeric" specifying the rate for fading.
data	Initial data to build the EMM. This just calls build on the new EMM.

Value

An object of class "EMM".

See Also

EMM-class

Examples

## load EMMTraffic data
data(EMMTraffic)

## create empty EMM
emm <- EMM(threshold=0.2, measure="eJaccard", lambda=.1)
emm

## cluster some data
build(emm, EMMTraffic)
emm

## what clusters were the data points assigned to?
last_clustering(emm)

## plot the clustering as a graph
plot(emm)

rEMM documentation built on May 29, 2024, 4:35 a.m.