2 ms·
> ... much better alternatives such as the variance-ratio criterion (VRC) of Calinski and Harabasz [6], the Bayesian Information Criterion (BIC), or the Gap st
by djoldman 2y ago
> ... much better alternatives such as the variance-ratio criterion (VRC) of Calinski and Harabasz [6], the Bayesian Information Criterion
(BIC), or the Gap statistics should always be preferred instead.
That's fair.
And: clustering algorithms are unsupervised by definition, therefore there is no correct answer.
In my experience, the use case almost always controls which algorithm (k-means, DBSCAN, etc.) will be best as well as the parameters chosen, e.g. k if that is available.