Link to SAS Data File:
https://drive.google.com/file/d/1DyKY1Dfail8d7Biqd…
ST 532
H4
1. Conducting Cluster Analysis
The DUNGAREE data set gives the number of pairs of four different types of dungarees sold at
stores over a specific time period. Each row represents an individual store. There are six columns in
the data set. One column is the store identification number, and the remaining columns contain the
number of pairs of each type of jeans sold.
Name
Model
Role
Measurement
Level
Description
STOREID
ID
Nominal
Identification number of the store
FASHION
Input
Interval
Number of pairs of fashion jeans sold at the store
LEISURE
Input
Interval
Number of pairs of leisure jeans sold at the store
STRETCH
Input
Interval
Number of pairs of stretch jeans sold at the store
ORIGINAL
Input
Interval
Number of pairs of original jeans sold at the store
SALESTOT
Rejected
Interval
Total number of pairs of jeans sold (the sum of
FASHION, LEISURE, STRETCH, and ORIGINAL)
a. Create a new diagram in your project. Name the diagram Jeans.
b. Define the data set DUNGAREE as a data source.
c. Determine whether the model roles and measurement levels assigned to the variables are
appropriate.
Examine the distribution of the variables.
• Are there any unusual data values?
• Are there missing values that should be replaced?
d. Assign the variable STOREID the model role ID and the variable SALESTOT the model role
Rejected. Make sure that the remaining variables have the Input model role and the Interval
measurement level. Why should the variable SALESTOT be rejected?
e. Add an Input Data Source node to the diagram workspace and select the DUNGAREE data
table as the data source.
f. Add a Cluster node to the diagram workspace and connect it to the Input Data node.
g. Select the Cluster node. Leave the default setting as Internal Standardization
Standardization. What would happen if inputs were not standardized?
h. Run the diagram from the Cluster node and examine the results.
Does the number of clusters created seem reasonable?
i. Specify a maximum of six clusters and rerun the Cluster node. How does the number and quality
of clusters compare to that obtained in part h?
j. Use the Segment Profile node to summarize the nature of the clusters. Discuss.
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