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LATENT REFERENCES / TAG2

Gaussian Mixture Model

Archive curator and editor: Keigo Yoshida

This reference note belongs to Tag2 in Latent References, an archive curated by Keigo Yoshida. Its archive region is TouchDesigner. 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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TouchDesigner

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.

A Gaussian mixture model is 1 clustering method that analyzes data as generated from multiple normal (Gaussian) distributions. It changes the mean and variance of each normal distribution to estimate which distribution data belong to. #word

Source updated 2024-08-06 · Snapshot 2026-10-08

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