this post was submitted on 15 Jul 2025
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hierarchical letter clustering would be my guess, or graph-based clustering using ngrams of 2-4 as nodes and maximising for connections.
Or using an optimized Regex and printing out the DFA?
Edit: Quick N-gram analysis (min=3, max=num letters in that month)
R-code
This gives the following 9 ngram frequencies greater than 1:
As you can see two longest most common motifs are "em-ber" and "uar-y"
Using this I propose the following graph
Mermaid
Thanks for saving me time, my head was already spinning on the previous comment but you made it stop.
I'm really disappointed by June, April and August. Without these months, everything would be so neat and orderly
Freaking romans with their gods and emperors, they couldn't go from unember to duodecember
Interestingly
are the only two hallucinations, everything else is always a legit month