1. Suppose you are given 100 scientific articles (which are text documents) and you are asked to cluster them based on their similarity. How will you prepare your data for modeling?

2. In clustering, objects are grouped together based on the principle of maximizing the interclass similarity and minimizing the intraclass similarity. True or False

3. Given two objects represented by the numeric tuples (22, 1, 42, 10) and (20, 0, 36, 8). What is the Manhattan distance between the two objects?

a. 10

b. 11

c. 6.7

d. 6

4. The attribute Zip codes can be considered as

a. Continuous attribute

b. Discrete attribute

c. Nominal attribute

d. Binary attribute