evaluate_subspace: Evaluate Subspace Clusterings
In subspaceMOA: Interface to 'subspaceMOA'

This function evaluates Subspace Clusterings based on data points from a stream.

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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.