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University of the Cumberlands Cluster Analysis Categorical Attributes Discussion
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This week we discuss association analysis and the advanced concepts (in Chapter six). After reviewing the material answer the following questions:
- 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.
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:
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- 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.
