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  •  Discuss the strengths and weaknesses of using K-Means clustering algorithm to cluster multi-class data sets. How do you compare it with a hierarchical clustering technique.  (APA format – 300 words)
  • Compare and contrast the different techniques for anomaly detection that were presented in Chapter 9.
  • Discuss techniques for combining multiple anomaly detection techniques to improve the identification of anomalous objects. (APA format – 300 words)
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