Figure 1:
Simulated data. (A) Subsampled raw data. (B) Confusion matrix in percentages for
masked EM with 
, 
, and
BIC penalty (equivalent to 10 × AIC for 20,000 points). (C) Confusion matrix in
percentages for classical EM for an AIC penalty. (D) Confusion matrix in percentages
for classical EM for a penalty of 
. (E)
VI metric measure of performance of both algorithms using various values for penalty,
where the black vertical line indicates BIC. (F) The number of clusters obtained for
various values of penalty, where the black vertical line indicates BIC.
