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Consider the following dataset involving four students: (100 points) MidTerm1 MidTerm2 Finals Gender Male Female Male Health Fair Good Excellent Black Excellent Black CarColor Black Red Quiz1 85 Jack Angela Seele Temperance Female 70 Gender is symmetric binary, midTerm1, midTerm2 and finals are asymmetric binary (pass-1, fail=0) quiz1 is numeric, health is ordinal and carColor is nominal attribute a. Find the dissimilarity matrix based on the gender attribute b. Find the dissimilarity matrix based on the asymmetric binary attributes. c. Find the normalized dissimilarity matrix based on the numeric attribute quiz1. Use the Euclidean distance d. Find the dissimilarity matrix based on the nominal attribute e. Find the dissimilarity matrix based on the ordinal attribute f. Find the dissimilarity value between Jack and Angela bas o attributes. g. Find the dissimilarity value between Jack and Seeley based on all attributes. Consider the following dataset involving four students: (100 points) MidTerm1 MidTerm2 Finals Gender Male Female Male Health Fair Good Excellent Black Excellent Black CarColor Black Red Quiz1 85 Jack Angela Seele Temperance Female 70 Gender is symmetric binary, midTerm1, midTerm2 and finals are asymmetric binary (pass-1, fail=0) quiz1 is numeric, health is ordinal and carColor is nominal attribute a. Find the dissimilarity matrix based on the gender attribute b. Find the dissimilarity matrix based on the asymmetric binary attributes. c. Find the normalized dissimilarity matrix based on the numeric attribute quiz1. Use the Euclidean distance d. Find the dissimilarity matrix based on the nominal attribute e. Find the dissimilarity matrix based on the ordinal attribute f. Find the dissimilarity value between Jack and Angela bas o attributes. g. Find the dissimilarity value between Jack and Seeley based on all attributes