Question 1

True or False? Clustering is an example of a supervised machine learning technique.


Question 2

When working on a clustering model, if you want to measure how tightly the data points are grouped, what metric should you use?


Question 3

This clustering algorithm separates a dataset into clusters of equal variances, where the number of clusters is user-defined.

Which clustering algorithm is this?


Question 4

Select the correct steps that a basic K-means clustering algorithm consists of:


Question 5

Which of the following algorithms are considered to be clustering-type algorithms?