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**Minimum Distance** (to means) classification assigns each pixel to the class whose **mean vector** is closest in feature space — typically Euclidean distance across all bands. - **Strength:** fast, works with small training sets. - **Weakness:** ignores class shape and variance; poor when classes have very different spreads or are correlated in band space.

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