tNN-class

state_centers

state_centers,tNN-method

state_counts

state_counts,tNN-method

Implements the threshold Nearest Neighbor clustering algorithm
used by EMM.

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

tNN-class function

No objects are created from this class. It is extended by the class <code>"EMM"</code>
to build the Extensible Markov Model.

Objects from the Class

Class "tNN"

tNN-class: Class "tNN"

Description

Arguments

Objects from the Class

References

See Also