Semester : SEMESTER 1
Subject : Data Warehousing & Mining
Year : 2015
Term : DECEMBER
Branch : COMPUTER SCIENCE AND ENGINEERING
Scheme : 2015 Full Time
Course Code : 01 CS 6151
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b. How do K-means and K-medoids algorithm differ? Justify the contexts in which
each of these algorithms can be used? (5)
6. The training data for a classifier is given below: http:/e'u-ww.ktuonline.com
a. Using a Bayesian Classifier, classify the tuple (Adam, M, 1.95) as short,
medium or tall. The trainin data for the classifier is iven below:
Name Gender Height Output
Kristina Short
Jim 2m Tall
Maggie 1.9m Medium
Martha ۳ Medium
Stephanie 1.7m Short
Bob | .85m ത്തി
Kathy 1.6m Short
Dave 1.7m Short
Worth 2.2m Tall
Steven 2.1m Tall