CSE555: Introduction to Pattern Recognition Midterm ... - CEDAR
CSE555: Introduction to Pattern Recognition Midterm ... - CEDAR
CSE555: Introduction to Pattern Recognition Midterm ... - CEDAR
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Similarly, we haveP(∼ A|x) ≈ 0.4024P(A| ∼ x) ≈ 0.1402P(∼ A| ∼ x) ≈ 0.85982. (25pts) Fisher Linear Discriminant.(a) (5pts) What is the Fisher linear discriminant method?Answer:The Fisher linear discriminant finds a good subspace in which categories are bestseparated in a least-squares sense; other, general classification techniques can thenbe applied in the subspace.(b) Given the 2-d data for two classes:ω 1 = [(1, 1), (1, 2), (1, 4), (2, 1), (3, 1), (3, 3)] andω 2 = [(2, 2), (3, 2), (3, 4), (5, 1), (5, 4), (5, 5)] as shown in the figure:65432100 1 2 3 4 5 6i. (10pts) Determine the optimal projection line in a single dimension.Answer:Let w be the direction of the projection line, then the Fisher linear discriminantmethod finds that the best w is the one for which the criterion functionJ(w) = wt S B ww t S wwis maximum, as followswhereandS i = ∑w = S −1w(m 1 − m 2 )Sw = S 1 + S 2x∈D i(x − m i )(x − m i ) t i = 1, 22