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In chapter we focus on cluster analysis.
1. What are the characteristics of data?
2. Compare the difference in each of the following clustering types: prototype-based, density-based, graph-based.
3. What is a scalable clustering algorithm?
4. How do you choose the right algorithm?
Read:
Chapter 8 in the textbook: Cluster Analysis: Additional Issues
Attachment:- Chapter 8-Cluster Analysis.rar
This first part of your distribution report should be divided into five sections that shouki be 1000-1500 words (4-6 pages excluding figures) in length If this portion is longer that is fine, except that the gradeis may stop reading soon after 1500 w..
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