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- Apply LDA to compute Linear Discriminant projection for the below two-dimensional dataset: Class w1 : X1 = (x1, x2) = {(4,2), (2,4), (2,3), (3,6) (4,4)} Class w2: X2 = (x1, x2) = {(9, 10), (6,8), (9,5), (8,7), (10, 8) } = = = criteria of various parameters in BPN. (10x1)=10 Let X= {x, y, z, w} Y={1, 2, 3, 4) and the three fuzzy sets be given as A = {(x,0.2) (y,0.5) (2,0.6) (w,0)} B = {(1,0.7) (2,0.7) (3,0.5)} C = {(1,1) (2,.5) (3,0.7) (4,0.4)} i.Calculate the entropy of this source. ii.Find the Huffman code for this source. iii. Find the average length of the code in (ii) & its redundancy. With the help of a flowchart explain the encoding procedure of