Question 1

True or False?

Clustering is a form of machine learning that is used to group similar items into clusters based on their predictions.


Question 2

What type of machine learning technique does clustering examples?


Question 3

You create a machine learning experiment based on a clustering model. Now you want to use the model in an inference pipeline. Which module should you use to infer cluster predictions from the model?


Question 4

When using a clustering module, what algorithm let’s you group items into a number of clusters you specify?


Question 5

Suppose you are testing a K-Means clustering model. If you would want your model to assign items to one of four clusters, which parameter/property should you configure on the module?