Consider the following dataset involving four students: (100 points) Gender Jack Male Angela Female P Seeley Male Temperance Female MidTerm1 MidTerm2 Finals P P P F P Quiz1 85 88 70 99 Health Fair Good Excellent Excellent CarColor Black Red Black Black P P P 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. 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 based on all attributes. g. Find the dissimilarity value between Jack and Seeley based on all attributes. For a-e, just submit the dissimilarity matrix (no calculations needed for submission). For f-g, submit the equation by plugging in the values as well as the final dissimilarity value that you get after solving the equation. Consider the following dataset involving four students: (100 points) Gender Jack Male Angela Female P Seeley Male Temperance Female MidTerm1 MidTerm2 Finals P P P F P Quiz1 85 88 70 99 Health Fair Good Excellent Excellent CarColor Black Red Black Black P P P 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. 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 based on all attributes. g. Find the dissimilarity value between Jack and Seeley based on all attributes. For a-e, just submit the dissimilarity matrix (no calculations needed for submission). For f-g, submit the equation by plugging in the values as well as the final dissimilarity value that you get after solving the equation