Assessments

1. kNN falls in a ______ learning family of algorithms.

2. State whether the following statement is True or False: A cluster is a collection of objects that have a similarity between them and are dissimilar to the objects belonging to other clusters. If a collection of objects is provided, clustering algorithms put these objects into groups based on similarity.

3. What is the main objective of unsupervised learning?

4. State whether the following statement is True or False: In a clustering task, an algorithm groups related features into categories by analyzing similarities between input examples, where similar features are clustered and marked using circles.

5. Clustering analysis is about dividing data samples or data points and putting them into corresponding ______ classes or clusters.

   1. Heterogynous

   2. Linear

   3. Homogeneous

   4. Similar.