In a two-class, two-dimensional classification task, the feature vectors are generated by two normal distributions sharing the same covariance matrix E = 1.5 0.2] l0.2 0.9] and the mean vectors are u, = (0,01", and H2 [3.5,41", respectively. Classify the vector (0.5,1.01" according to the Bayesian classifier and choose the correct answer. Distance to u Distance to u2 Classification A 0.58 8.62 Class 1 B. 6.32 5.21 Class 2 C 1.06 11.88 Class 2 D 1.16 13.74 Class 1 Select one answer: OA OD

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In a two-class, two-dimensional classification task, the feature vectors are generated
by two normal distributions sharing the same covariance matrix
0.21
and the mean vectors are u, = [0,01", and 42 = [3.5,4]", respectively. Classify the
vector (0.5,1.0]" according to the Bayesian classifier and choose the correct answer.
Distance to H
0.58
Classification
Class 1
Distance to 42
A
8.62
B
6.32
5.21
Class 2
1.06
11.88
Class 2
1.16
13.74
Class 1
Select one answer:
OA
OO0O
Transcribed Image Text:In a two-class, two-dimensional classification task, the feature vectors are generated by two normal distributions sharing the same covariance matrix 0.21 and the mean vectors are u, = [0,01", and 42 = [3.5,4]", respectively. Classify the vector (0.5,1.0]" according to the Bayesian classifier and choose the correct answer. Distance to H 0.58 Classification Class 1 Distance to 42 A 8.62 B 6.32 5.21 Class 2 1.06 11.88 Class 2 1.16 13.74 Class 1 Select one answer: OA OO0O
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