Database Reference
In-Depth Information
Exercises
1. Using the age and height clustering example in section 4.2.5, algebraically
illustrate the impact on the measured distance when the height is expressed
in meters rather than centimeters. Explain why different clusters will result
depending on the choice of units for the patient's height.
2. Compare and contrast five clustering algorithms, assigned by the instructor
or selected by the student.
3. Using the
ruspini
dataset provided with the
cluster
package in R,
perform a k-means analysis. Document the findings and justify the choice
of k. Hint: use
data(ruspini)
to load the dataset into the R workspace.
