SelfOrganizingMap
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 |