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Synopsis

A Clusterer that implements Kohonen's Self Organizing Map algorithm for unsupervised clustering.

This clusterer is available in the SelfOrganizingMap package.

Options

The table below describes the options available for SelfOrganizingMap.

Option

Description

calcStats

This should calculate statistics for each cluster after training.

convergenceEpochs

The number of epochs in convergence phase.

debug

If set to true, clusterer may output additional info to the console.

doNotCheckCapabilities

If set, clusterer capabilities are not checked before clusterer is built (Use with caution to reduce runtime).

height

The height of lattice.

learningRate

The initial amount the weights are updated.

normalizeAttributes

This will normalize the attributes.

orderingEpochs

The number of epochs in ordering phase.

width

The width of lattice.

Capabilities

The table below describes the capabilities of SelfOrganizingMap.

Capability

Supported

Class

No class

Attributes

Binary attributes, Unary attributes, Nominal attributes, Empty nominal attributes, Missing values, Numeric attributes

Min # of instances

1

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