Discussion – 400 plus words (APA FORMAT)

 In chapter we focus on cluster analysis.  Therefore, after reading the chapter answer the following questions:

  1. What are the characteristics of data?
  2. Compare the difference in each of the following clustering types: prototype-based, density-based, graph-based.
  3. What is a scalable clustering algorithm?
  4. How do you choose the right algorithm?

 Read:

  1. ch. 8  in the textbook: Cluster Analysis: Additional Issues