What does it mean if BIC is negative?
Generally, the aim is to minimize BIC, so if you are in a negative territory, a negative number that has the largest modulus (deepest down in the negative territory) indicates the preferred model. Hence, in your plot the best case would appear to be “2”.
What BIC means?
Bank Identifier Code
BIC means Bank Identification Code, or Bank Identifier Code. It is an 8 to 11-character code that is used to identify a specific bank when you make an international transaction. It’s almost like a postcode for your bank, ensuring that your money goes to the right place.
What does a smaller BIC in k-means-cross mean?
Does a “smaller” BIC mean that my best number of clusters is “2” (most negative), or “25” (closer to zero), or is my plot just broken? Generally, the aim is to minimize BIC, so if you are in a negative territory, a negative number that has the largest modulus (deepest down in the negative territory) indicates the preferred model.
Can a Bic score be positive or negative?
In the discrete case, the BIC score can only be negative. It is defined as (see section 11.2 of the HUGIN C API Reference Manual): where l is log-likelihood, k is the number of free parameters, and n is the number of cases.
What does it mean if my AIC and BIC are negative?
Under the assumption, that both models have the same log likelihood, you obviously want to choose the one with less parameters. And as you can see, it is the one with the smaller AIC (not the one with the smaller absolute value). As with likelihood, the absolute value of AIC is largely meaningless (being determined by the arbitrary constant).
Which is the best Bic value for K?
As you are using BIC = likelihood – penalty you want to find the highest value, which in your first image clearly we would pick N_clusters = 8 and in the second image N_clusters = 9. If I use the euclidean distance I get the expected results and this is the formula I’ve been using because I’ve made some tests and it seems correct.