EMM-class

show,EMM

This class represents the extensible Markov Model.	It consists
of a simple data stream clustering algorithm (class <code>"tNN"</code>) and
a temporal layer (class <code>"EMMLayer"</code>).

classes

The Extensible Markov Model (EMM) adds a temporal
        component to data stream clustering by superimposing a
        dynamically adapting Markov Chain. This package implements EMM
        on top of threshold NN, a simple clustering algorithm for data
        streams.

Michael Hahsler

rEMM

Extensible Markov Model (EMM) for Data Stream Clustering in R

EMM-class function

Objects can be created using the creator function <code>EMM</code> or by 
directly calling <code>new("EMM", ...)</code>. Most slots for the extended
classes can be used as parameters for <code>EMM</code>.

Objects from the Class

The slots are described in corresponding the extended classes 
	(see section Extends).

Slots

Class <code>"<links4class>tNN</links4class>"</code>, directly.
Class <code>"<links4class>EMMLayer</links4class>"</code>, directly.

EMM-class: Class "EMM"

Description

Arguments

Objects from the Class

Slots

Extends

References

See Also