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I am really excited in applying these methods to my textual data and it appears to be working really well, however I have a question regarding the clustering - how does it decide on the number of clusters ?
The text was updated successfully, but these errors were encountered:
It selects the number of groups that minimizes the description length of the data — i.e. how many bits are necessary to describe according the model being fitted. More information are given in the paper. If you are interested, you can read more here: https://arxiv.org/abs/2112.00183
I am really excited in applying these methods to my textual data and it appears to be working really well, however I have a question regarding the clustering - how does it decide on the number of clusters ?
The text was updated successfully, but these errors were encountered: