30.3.2.b. Unsupervised Learning

Try these first

1. 1.

   Define unsupervised learning in your own words.

   Hint

   Think about what it means to learn without guidance.

2. 2.

   What is a common use for clustering?

   Hint

   Consider categories you encounter in everyday life.

3. 3.

   What does unsupervised learning aim to accomplish?

   • A) Identify labels for data
   • B) Discover hidden patterns in data
   • C) Predict outcomes using labeled data

   Hint

   Think about what you can uncover without explicit guidance.

4. 4.

   True or false: K-Means is a supervised learning algorithm.

   • True
   • False

   Hint

   Recall the definitions of supervised and unsupervised learning.

5. 5.

   Design an unsupervised learning project for analyzing urban traffic patterns. What data would you collect, and which algorithm would you choose?

   Hint

   Think about how traffic flows vary across different times and locations.

6. 6.

   Evaluate the effectiveness of using Hierarchical Clustering versus K-Means in grouping renovation project types. What factors would influence your choice?

   Hint

   Consider the dataset size and the need for visual representation.