STAT 530, Fall 2014
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Homework 5
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Do the following problems.  The first three are required for everyone and the fourth
is required for graduate students and optional (extra credit) for undergrads.

5.4, 5.5, Problem 3[see below]

Problem 3:  Do both a hierarchical clustering and a partitioning clustering 
of the racquet data from the midterm.  For each clustering, you may pick your favorite
specific approach.  Give the partitions of racquets into clusters, give some plot(s) 
to visualize the cluster structure, and make an attempt to characterize the clusters.

GRADUATE STUDENT PROBLEM:  6.3***
This is optional (extra credit) for undergraduate students.

IMPORTANT NOTE: For EACH of these problems, also write several sentences 
explaining in words what substantive conclusions about the data
that you can draw from the plots and/or analyses.

NOTE:  The "legal offense" dissimilarity matrix, the "hair/eye" data, the
racquet data, and the pottery data in Table 6.3 are given on the course web page.

*** Read Section 6.3 for some insight into the variables in the pottery data set.
Also note that "No" (number) and "Kiln" are simply labeling variables and 
should NOT be included in the cluster analysis algorithm.