Question 5. for each of the described data sets, decide what type of clustering should be used (hierarchical or partitional, exclusive or overlapping or fuzzy, complete or partial). if you find that data could be clustered using multiple types of clustering based on different assumptions, provide explanations an example: clustering library books based on their literary genre. the genre/topic can have several subtopics as well. hierarchical, overlapping, complete a) proteins perform different biological functions which are organized into a hierarchical taxonomy (go) defined by biologists. some proteins can be multi-functional as well. you want to group them based on those functions. some proteins may also have missing functional annotation b) a nutritionist asks you several questions (e. g., your calorie intake, types of food you eat, your physical activity labels, and so on) to assess your risks for diabetes in three different groups: low, medium and high c) an international grad student is allowed to work on campus only at most for 20 hours. you want to assign each student to different job categories (e. g., ta, ra, other on-campus job, jobless). hint: the sum of these categories should sum up to 20 hours.