Basic concepts and algorithms of cluster analysis

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Reference no: EM133193772 , Length: 250 Words

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:

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, and discuss the concepts of each method.

Reference no: EM133193772

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