a)prepare a matrix called test_classif of size 10£4649 and fill this matrix by computing the Euclidean distance (or its square) between each image in the test_patterns and each mean digit image in train_aves.

b) ) Compute the classification results by finding the position index of the minimum of each column of test_classif

(c) ) Finally, compute the confusion matrix test_confusion of size 10£10, print out this matrix, and submit your results.

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