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Chapter 6

• What are the techniques in handling categorical attributes?
• How do continuous attributes differ from categorical attributes?
• What is a concept hierarchy?
• Note the major patterns of data and how they work.

Chapter 7

• What is K-means from a basic standpoint?
• What are the various types of clusters and why is the distinction important?
• What are the strengths and weaknesses of K-means?
• What is a cluster evaluation?

• Select at least two types of cluster evaluations, discuss the concepts of each method.