Why is there even a Voynich B?

[quimqu]

The thing that makes PCA based cluster analysis (in particular) of sub-dialects tricky is 

As there is no prior mention of PCA cluster analysis in the ppst I imagine you think I did cluster analysis, but that is not the case. My analysis is topic analysis, usindg Latent Dirichlet Allocation, that is not using PCA, neither k-means.

LDA is a probabilistic model used to discover hidden topics in a collection of documents. It is language agnlstic and assumes that each document is composed of several topics (K), and each topic is a distribution over words. By analyzing the patterns of word co-occurrence across documents, LDA infers which topics are present and how strongly each document is associated with them. The model is unsupervised and typically estimated using Bayesian inference methods such as variational inference or Gibbs sampling. Its main goal is to uncover the underlying thematic structure of text corpora. In my case, the language units were the paragraphs.