Emails us- Call US

Assignment help 3172

 a. Briefly describe why clusteirng is one kind of unsupervised learning 

b. Briefly descirbe how a K-means clustering works 

c. Briefly describe the main difference between K-means and K-medoid methods.

 d. In data mining, one of the fields is outlier analysis. Explain what is an outlier? Are outliers noise data? 

e. A good clustering method will produce high quality clusters. What criteria can we use to judge where clusters are high quality clusters? 

f. List out at least two drawbacks of K-means clustering approaching. In hierarchical clustering, there are different ways to measure the distances between clusters, e.g. single linkage, complete linkage, and average linkage. Briefly describe the difference among these three distance measures. 


15% off for this assignment.

Our Prices Start at $11.99. As Our First Client, Use Coupon Code GET15 to claim 15% Discount This Month!!

Why US?

100% Confidentiality

Information about customers is confidential and never disclosed to third parties.

Timely Delivery

No missed deadlines – 97% of assignments are completed in time.

Original Writing

We complete all papers from scratch. You can get a plagiarism report.

Money Back

If you are convinced that our writer has not followed your requirements, feel free to ask for a refund.