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I’m working on a business multi-part question and need a sample draft to help me study.

In chapter 8 we focus on cluster analysis.  Therefore, after reading the chapter answer the following questions:

What      are the characteristics of data?

  1. Compare      the difference in each of the following clustering types: prototype-based,      density-based, graph-based.
  2. What      is a scalable clustering algorithm?
  3. How do      you choose the right algorithm?

After reviewing chapter 9 on anomaly detection, answer the following questions in essay format.

  1. What      are the characteristics of anomaly detection? 
  2. What      are the detection problems and methods?
  3. What      are the statistical approaches when there is an anomaly found?
  4. Compare      and contrast proximity and clustering based approaches.

textbook

Tan, P. N., Steinbach, M., & Kumar, V. (2016). Introduction to data mining. Pearson Education India.

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