Deviation of the number of centroids in the model.
densityRange
Density range.
speed
Kernels move a predefined distance of 0.01 every X points.
speedRange
Speed/Velocity point offset.
noiseLevel
Noise level.
noiseInCluster
Allow noise to be placed within a cluster.
eventFrequency
Frequency of events.
eventMergeSplitOption
Merge and split?
eventDeleteCreate
Delete and create?
modelSeed
Random seed for the model.
instanceSeed
Random seed for the instances.
Value
An object of class DSD_RandomRBFGeneratorEvent
(subclass of DSD_MOA, DSD).
Details
There are an assortment of parameters available for the underlying MOA data
structure, however, we have currently limited the available parameters to
the arguments above. Currently the modelSeed and instanceSeed are set to
default values every time a DSD_MOA is created, therefore the
generated data will be the same. Because of this, it is important to set
the seed manually when different data is needed.
The default behavior is to create a data stream with 3
clusters and concept drift. The locations of the clusters will change
slightly, and they will merge with one another as time progresses.
References
MOA: Massive Online Analysis, a Framework for Stream Classification and
Clustering Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen,
Hardy Kremer, Timm Jansen, Thomas Seidl. Journal of Machine Learning
Research (JMLR).
# NOT RUN {stream <- DSD_RandomRBFGeneratorEvents()
get_points(stream, 10, class=TRUE)
# }# NOT RUN {animate_data(stream, n=5000, pointInterval=100, xlim=c(0,1), ylim=c(0,1))
# }