ITC 360 Week #10

In H-clustering we can only start with the whole object.

• T

• F

In unsupervised learning, the attributes are not labelled

• T

• F

the Manhattan measure of similarity of obj(0,12) and obj(1,10) is:

• 0

• 1

• 2

• 3

The Euclidean measure of similarity of obj(Female, 22) and obj(Male, 22) is:

you can label Female as 0 and Male as 1

• 0

• 1

• 2

• 3

In H clustering, we may start with individual objects putting them first into 2 clusters.

• T

• F

The Manhattan measure of similarity of obj(Married, 20) and obj(Single and 21) is:

You may code Single as 0 and Married as 1

• 0

• 1

• 2

• 3