Object of class <code>"numeric"</code> with the dissimilarity threshold used by the 
clustering algorithm for assigning a new observation to existing clusters.

threshold

Object of class <code>"character"</code> containing the name of the dissimilarity
measure used (see <code>dist</code> in <pkg>proxy</pkg> for available measures).

measure

Specify a function passed on as method to <code>dist</code> in <pkg>proxy</pkg> 
(see <code>dist</code> in <pkg>proxy</pkg>).
The character string passed on as <code>measure</code> will be used as the 
measure's name.

distFun

Object of class <code>"logical"</code> indicating if centroids are used for clusters.
If <code>FALSE</code>, pseudo medians (first observation of a cluster) are used to
represent a cluster.

centroids

Object of class <code>"numeric"</code> specifying the
                 rate for fading.

lambda

Initial data to build the EMM. 
    This just calls <code>build</code> on the new EMM.

data

Create a new object of class <code>"EMM"</code>.

models

This package implements TRACDS (Temporal Relationships
        between Clusters for Data Streams) which is a generalization of
        Extensible Markov Model (EMM). TRACDS adds a temporal or order
        model to data stream clustering by superimposing a dynamically
        adapting Markov Chain. This package implements EMM (TRACDS on
        top of tNN data stream clustering). Development of this package
        was supported in part by NSF IIS-0948893 and R21HG005912 from
        the National Human Genome Research Institute.

EMM: Creator for Class "EMM"

Description

Usage

Arguments

Value

See Also

Examples