Overview Attracted by possible returns from a portfolio of movies hedge funds have invested in the movie industry by financially backing individual films and/or studios. The hedge fund Star Ventures is currently conducting some research regarding movies involving Adam Sandler an American actor screenwriter and film producer. As a first step Star Ventures would like to cluster Adam Sandler movies together based on their gross box office returns and movie critic ratings. The Problem Using data in the file sandler_movies.csv apply k-medoids clustering with k=3 to characterize three different types of Adam Sandler movies. Base the clusters on the variables Rating and Box Office. Rating corresponds to movie ratings provided by critics with a higher score representing a better review. Box represents the gross box office earnings in millions of U.S. dollars. Standardize the values of the input variables to adjust for the different scales of the variables. Deliverables Report the characteristics of each cluster including the count of movies the average ratings of the movies and the average box office earnings in each cluster. How would you describe the movies in each cluster? Submit your workbook to Moodle. Requirements: no specific length directs in the attached link | .xls file ‘
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