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Movie companies need to predict the gross receipts of individual movies once the movie has debuted. The following results, stored in PotterMovies, are the first weekend gross, the U.S. gross, and the worldwide gross (in $millions) of the Harry Potter movies.
a. Perform a cluster analysis using the complete linkage method on the Harry Potter movies based on the first weekend gross, the U.S. gross, and the worldwide gross (in$millions).
b. What conclusions can you reach about which Harry Potter movies are most similar?
Solutions
VerifiedA cluster analysis is required to a perform grouping based on the given items in the data set in terms of their similarity. This similarity is based on the Euclidean distance between the individual items, and will be computed with the given equation:
where we have:
- is the distance between objects and ,
- is the value of object in dimension ,
- is the value of object in dimension , and
- is the number of data dimensions.
This distance value is the basis for the different methods in cluster analysis. These are enumerated in Table 1:
On the other hand, clustering methods are also categorized on the variables that they work with:
- k-means clustering are used efficiently with purely numerical variables; while
- hierarchical clustering are good with a mix of numerical and categorical variables.
The software output of cluster analysis using the complete linkage method on the Harry Potter movies based on the first-weekend gross, the U.S. gross, and the worldwide gross, is given below:
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