R Code for Cluster Analysis

Perform a complete cluster analysis of a data set.

(a) Identify a data set for cluster analysis. The data set must have a minimum of 8 numeric variables

and 500 observations. You may use any data set meeting this reqiurement.

(b) Briefly describe the data set.

(c) Perform a clustering analysis of this data set using:

partitional clustering (use statistical and/or rational reasoning to determine k)

hierarchical clustering (use statistical and/or rational reasoning to determine cut height)

density-based clustering (use statistical and/or rational reasoning to determine and min points)

(d) Provide a concise, statistical description of the nal cluster results for each method (e.g. number of clusters, size of clusters, centroids, etc.) and compare/contrast the results.

(e) Identify the cluster solution you think is best and provide a rationale for your choice.

(f) Provide an interpretation of the clusters belonging to your preferred solution. This interpretation will require a subjective analysis of the clusters.