Covariance Matrix: Definition, Derivation and Applications | Built In
Covariance Matrix: Definition, Derivation and Applications | Built In
3 months ago
builtin.com
Q1: In a three-class two-dimensional problem the feature vectors in each class are normally distributed with covariance matrix The mean vectors for each class are , , and . Assuming that, the three classes are equiprobable, (a) Classify the feature vector according to the Bayes minimum error probability classifier; (b) Draw the curves of equal Mahalanobis distance from.
Q1: In a three-class two-dimensional problem the feature vectors in eac…
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