(26-10-2026, 09:15 PM)quimqu wrote: You are not allowed to view links. Register or Login to view.(26-10-2026, 07:07 PM)Mauro wrote: You are not allowed to view links. Register or Login to view.It would be also interesting to see what @npcompl33t's serialization algorithm achieves on @quimqu's text: horseshoe or no horseshoe?
@Mauro I gave it a try. I rebuilt npcompl33t’s seriation from what he explains in his posts, so it’s my version, not his code: for each page, which glyph tends to follow which, then how different two pages are, and then MDS to draw them on a map.
Horseshoe: yes, the skribe makes one too.
Well, my compliments for rebuilding that in so short a span of time!
I would like to hear a comment by @npcompl33t (I'm really not in the position of analyzing MDS graphs...). I think that if the seriation on your generated text indeed finds a horseshoe similar to Voynich's, when it shouldn't because the 'sequence' of your text is essentialy random, then this cast doubts on @npcompl33t's results (or there's something else deeper which causes this effect, I don't know). Iirc you also tested @LisaFaginDavis LSA algorithm on your text, and you found it improves the scores even more than on VMS, where it shouldn't, too. But @npcompl33t's results essentialy agreeing with @LisaFaginDavis You are not allowed to view links. Register or Login to view. of Quires 13 and 20 would then be a massive coincidence, probabilities can use different assumptions which will lower the numbers but, face value, they are 1/720 for the exact match on the six folios of Q20 and 1/30 for the reverse match (and an inversion) on the five of Q13, so a total of 1/21600.
So I'd really like to know what's actually going on here. I hope @npcompl33t is reading us too.
![[+]](https://www.voynich.ninja/images/collapse_collapsed.png)
