ucsdedu Department of Computer Science and Engineering University of California San Diego La Jolla California 920930114 Abstract When clustering a dataset the right number of clusters to use is often not obvious and choosing automatically is a hard a ID: 2631
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-0.100.10.20.30.40.50.60.70.80.90.10.20.30.40.50.60.70.80.9 -3-2-10123-4-3-2-101234 0246810124567891011121314 0246810124567891011121314 0246810124567891011121314 0 0.2 0.4 0.6 0.8 1 0 30 60 90 120 150 180 210P(Type I error)number of datapointsG-meansX-means 0 0.2 0.4 0.6 0.8 1 0 30 60 90 120 150 180 210P(Type II error)number of datapointsG-meansX-means 510152025300123456789ClusterDigit 1020304050600123456789ClusterDigit