please solve part 4 and 5 ( data mining subject)

(a) x=(1,1,1,1),y=(2,2,2,2) cosine, correlation, Euclidean (b) x=(0,1,0,1),y=(1,0,1,0) cosine, correlation, Euclidean, Jaccard (c) x=(0,1,0,1),y=(1,0,1,0) cosine, correlation, Euclidean (d) x=(1,1,0,1,0,1),y=(1,1,1,0,0,1) cosine, correlation, Jaccard (e) x=(2,1,0,2,0,3),y=(1,1,1,0,0, 1) cosine, correlation 8. Given a similarity measure with values in the interval [0,1] describe two ways to transform this similarity value into a dissimilarity value in the interval [0,]. d=(1s)/s and d=logs