An Empirical Study of Cluster Evaluation Metrics using Flow Cytometry Data
نویسندگان
چکیده
A wide range of abstract characteristics of partitions have been proposed for cluster evaluation. We empirically evaluated the performance of these metrics for flow cytometry data and found that the set-matching metrics perform closest to human.
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