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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.
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
.
PlaybackThread
s
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