Book - Chapter 4 clustering

Question 1

What is clustering

Answer 1

Is the uses unsupervised techniques for grouping similar objects

Question 2

What is the centre of a K means cluster

Answer 2

Arithmetic average

Question 3

In case it means are the clusters numerical or categorical

Answer 3

Numerical

Question 4

What is the input of K means

Answer 4

Euclidean distance

Question 5

What is the outcome of K means

Answer 5

A cluster centre.

Question 6

Clustering is primarily an exploratory technique to discover what

Answer 6

Hidden structures of the data, possibly as a prelude to more focused analysis or decision processes

Question 7

What are the use cases of K beans

Answer 7

Image processing, medical, and customer segmentation

Question 8

How would you find out the value of K

Answer 8

By using within the sum of squares (WSS)

Question 9

What is WSS

Answer 9

The sum of the squares of the distances between each Datapoint and the closest centroid

Question 10

What do you do if you’re missing expected splits

Answer 10

Increase K

Question 11

What do you do if clusters have few data points

Answer 11

Decrease K

Question 12

What do you do if the centroids are close together

Answer 12

Decrease K