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...tive number? (2) Why should simply scaling the data change the BIC and log likelihood values? (3) Perhaps most important, why should scaling the data change the optimum model and the number of clusters? To explore the effects of scaling the data I further scaled it by multiplying the normalized caluesby 10, by 1E4 and by 1E14. The larger the values the more negative were the BIC and log likelihood values, and the optimum model and number of clusters changed with each change to the scale of the data (though in no obvious pattern). >From my perspective the normalized values would be preferable...