University of the Cumberlands Association Analysis & Cluster Analysis Discussion

Disc 1 This week we discuss association analysis and the advanced concepts (in Chapter six).  After reviewing the material answer the following questions:

1. What are the techniques in handling categorical attributes?
2. How do continuous attributes differ from categorical attributes?
3. What is a concept hierarchy?
4. Note the major patterns of data and how they work. 
5. Disc 2: This week we also discuss the concepts in chapter seven, which deals with the basic concepts and algorithms of cluster analysis.  After reading chapter seven answer the following questions:
   1. What is K-means from a basic standpoint?
   2. What are the various types of clusters and why is the distinction important?
   3. What are the strengths and weaknesses of K-means?
   4. What is a cluster evaluation?
   5. Select at least two types of cluster evaluations, discuss the concepts of each method.