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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?

Select at least two types of cluster evaluations, discuss the concepts of each method. reply to 2 peer posts by the end of the week. Should be APA formatted.

Video:

1. 4 Basic types of cluster analysis used in data analytics. (2018).