Given the following data: (a) Normalize the attributes Age and Salary using Min-Max [0,1] Favorite Color...

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Given the following data: (a) Normalize the attributes Age and Salary using Min-Max [0,1] Favorite Color Favorite Food Plays Plays Ag Salary Grad Chess Football . (1000s) e Ali Blue Cake Yes Yes 20 34 C Bila Yellow Cake Yes 25 25 B Fari Yellow Burger No No 20 20 A N (b) Find the dissimilarity matrix of the above data based on all the attributes (mixed type). For numeric attributes, use Manhattan distance. Interpret your results. (c) Normalize the attribute salary using decimal scaling. What is the value of i. Given the following data: (a) Normalize the attributes Age and Salary using Min-Max [0,1] Favorite Color Favorite Food Plays Plays Ag Salary Grad Chess Football . (1000s) e Ali Blue Cake Yes Yes 20 34 C Bila Yellow Cake Yes 25 25 B Fari Yellow Burger No No 20 20 A N (b) Find the dissimilarity matrix of the above data based on all the attributes (mixed type). For numeric attributes, use Manhattan distance. Interpret your results. (c) Normalize the attribute salary using decimal scaling. What is the value of i.