This function evaluates Subspace Clusterings based on data points from a stream.
1 2 3 | evaluate_subspace(dsc, dsd, n = 1000, measures = c("clustering error",
"cmm subspace", "entropy subspace", "f1 subspace", "purity",
"rand statistic"), alsoTrainOn = F)
|
dsc |
The clusterer whose current clustering should be evaluated. |
dsd |
The stream from which the data points for evaluation should be drawn. |
n |
How many points to evaluate over |
measures |
A vector of evaluation measures to use. By default, all supported measures are used. |
alsoTrainOn |
This will train the clusterer on the data points before running the evaluation. |
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