A Family of Metrics for Clustering Algorithms
نویسندگان
چکیده
We give the motivation for scoring clustering algorithms and a metric M : A → N from the set of clustering algorithms to the natural numbers which we realize as M(A) = ∑ i αi|fi − βi| wi (0.1) where αi, βi, wi are parameters used for scoring the feature fi, which is computed empirically.. We give a method by which one can score features such as stability, noise sensitivity, etc and derive the necessary parameters. We conclude by giving a sample set of scores.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1707.08912 شماره
صفحات -
تاریخ انتشار 2017