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KMeans.initClustersLinearly(DistanceMetric), but after computing the exact linear point, rather finds &
uses the closest instance from the data set as centroid.
AbstractSOMLibSparseInputData.distanceMatrix - careful, this is a lengthy process and should be done only if needed.
InputVectorDistanceMatrix from the given file.
SharedSOMVisualisationData input objects, the
MapPNode map, and default palettes.
datum.
InputData provides the input vectors to be used for the training process of a Self-Organizing Map.InputData object from a given file nameInputData.InputData, TemplateVector and
SOMLibClassInformation in a certain number of file formats, such as SOMLib, WEKA ARFF, SOMPak and ESOM.n*n, where n is the number of input vectors.a and b.
mName.prefix at.ec3.somtoolbox,
this will be replaced by at.tuwien.ifs.somtoolbox.
mqName.
AbstractMetric.instantiate(String), but tries to get the metric with the specified name, and then with the
package prefix, and throwing only a SOMToolboxException with the root cause nested.
AbstractSOMLibSparseInputData.getDataIntervals()
IntrinsicDistance.Palette with the given index.
true if the specified unit has an underlying map and is therefore
drill-down-able.
name is mapped onto this container.
name is contained.
true, if the vectors are normalized to unit length.
GrowingLayer
true if the current map is a child of a Unit.
PlaybackThreads
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