This week we also discuss the concepts in chapter seven,

 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?

 Read:

  1. ch. 6 & 7 in textbook: Association Analysis: Advanced Concepts and Cluster Analysis: Basic Concepts and Algorithms
  2. Križanić, S. (2020). Educational data mining using cluster analysis and decision tree technique: A case study. International Journal of Engineering Business Management, 12, 184797902090867–.

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