University of the Cumberlands Data Mining Fuzzy and EM Clustering Discussion

User Generated

zvpurnyw

Computer Science

University of the Cumberlands

Description

Questions:

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)


Textbook for reference: https://drive.google.com/file/d/14xcbc7LXdYvRsfbB8...

Instructions:

  • Providing a thoroughly develop the document including descriptions of all questions
  • Understanding: Demonstrating a clear understanding of purpose and writing a central idea with mostly relevant facts, details, and/or explanation
  • 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
  • Please elaborate answer with proper ideas(100points)

User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.

Explanation & Answer

Attached.

Running Head: COMPUTER SCIENCE

Computer Science
Student’s Name:
Institutional Affiliation:

1

COMPUTER SCIENCE

2
Question 1

The time complexity of K-means is represented by (I ∗ K ∗ m ∗ n). In that regard, I
represent iterations, m represents the number of points, and K represents the number of clusters,
while n represents the number of attributes. Mainly, the time needed by fuzzy c-means is very
important, the same as K-means, although the constant is greater. Consequently, SOM's time
complexity is similar to K-means, following the fact that it comprises multiple passes in which
different o...


Anonymous
Awesome! Perfect study aid.

Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4

Similar Content

Related Tags