Data Mining

Data Mining

ASSIGNMENT

1. What is the time and space complexity of fuzzy c-means? Of SOM? How do these complexities compare to those of K-means? (Chapter 8)
2. Compare the membership weights and probabilities of Figures 8.1 (626 page) and 8.4 (635 page), which come, respectively, from applying fuzzy and EM clustering to the same set of data points. What differences do you detect, and how might you explain these differences? (Chapter 8)
3. Discuss techniques for combining multiple anomaly detection techniques to improve the identification of anomalous objects. Consider both supervised and unsupervised cases. (Chapter 9)

Grading Rubric for the Assignment #4:

  • Delivery: Delivered the assignments on time, and in correct format: 25 percent
  • Completion: Providing a thoroughly develop the document including descriptions of all questions: 25 percent
  • Understanding: Demonstrating a clear understanding of purpose and writing a central idea with mostly relevant facts, details, and/or explanation: 25 percent
  • Organization: Paper is well organized, makes good use of transition statements, and in most instances follows a logical progression including good use of symbols, spacing in output: 25 percent
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