LATENT REFERENCES / TAG2
Jensen–Shannon Divergence
Original title: ジェンセンシャノン情報量
This reference note belongs to Tag2 in Latent References, an archive curated by Keigo Yoshida. Its archive region is Theoria. The note preserves its source text and links so that readers can trace the material behind the 3D map.
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- Tag2
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- Theoria
Archived reference note
English translation of the archived note. JP shows the original text. Source links and literal code are retained; the translation does not update or independently verify the source claims.
Jensen–Shannon divergence (JS) measures how far apart different facets’ label distributions are in terms of entropy. It is based on Kullback–Leibler divergence but is symmetric.
#word
ジェンセンシャノン情報量 (JS) は、異なるファセットのラベル分布がエントロピー的に互いにどの程度離れるかを測定します。これは、カルバックライブラー情報量に基づいていますが、対称的です。
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Source updated 2024-08-06 · Snapshot 2026-10-08
Source links and calculated neighbors
Cosine values measure shared lexical features, not truth, agreement or identical meaning. Original reference links are labeled separately.
- Shannon EntropyComputed lexical cosine similarity 0.202 · shared title, text, tags and references
- Shannon EntropyComputed lexical cosine similarity 0.197 · shared title, text, tags and references
- Facet CuttingComputed lexical cosine similarity 0.119 · shared title, text, tags and references