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6.In a two-class, two-feature classification task, the feature vectors described by Gaussian distributions with the same covariance matrixΣ = 1.1 0.3 0.3 1.9And the means are m1 [0, 0] and m2 1/4 [3, 3]. Classify the vector [1.0, 2.2] according to the Bayesian classifier. (Hint: use the Mahalanobis distances to the two means).

6.In a two-class, two-feature classification task, the feature vectors described by Gaussian distributions with the same covariance matrixΣ = 1.1 0.3 0.3 1.9And the means are m1

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