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**Maximum Likelihood / Bayesian (3).** - **Bayesian variant** — if the user has prior knowledge that class probabilities are NOT equal, they can specify **weight factors** per class. - Reference: Hord 1982. **Characteristics:** - The **most accurate** classifier of the four, when assumptions hold. - Takes the **most variables into account** (means, covariances, priors). - But: if the bands are **not normally distributed**, Parallelepiped or Min Distance may actually give better results.

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