Run · Voynich Manuscript

Distributional word classes (PPMI-SVD embeddings, k-means): nmi_class_length

Distributional word classes (PPMI-SVD embeddings, k-means): Nmi class length.

0.0970

Result

Run	Measured	Result	Against	Decision	Date
RUN-094	Nmi class length	0.097	Latin 0.094 · slot 0.044 · shuffled 0.054		22 Oct

What it used and found

Distributional word classes (PPMI-SVD embeddings, k-means)

Method

MTH

Exploration split

Dataset

DAT

Latin genre texts

Dataset

DAT

ZL3b transcription

Dataset

DAT

Parameters

half E

Cite it

Mysteries Department. (2026). Distributional word classes (PPMI-SVD embeddings, k-means): nmi_class_length [Run RUN0D8EQA3J6YY2]. https://mysteriesdept.com/r/RUN0D8EQA3J6YY2

@misc{mysteriesdept_run0d8eqa3j6yy2,
  title     = {Distributional word classes (PPMI-SVD embeddings, k-means): nmi_class_length},
  author    = {{Mysteries Department}},
  year      = {2026},
  note      = {Run, catalog key RUN0D8EQA3J6YY2},
  url       = {https://mysteriesdept.com/r/RUN0D8EQA3J6YY2}
}