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Introduction to Artificial Intelligence

Introduction to Artificial Intelligence

Unit: Machine Learning

Lesson: K-Means Clustering

K-Means Introduction

Song Clustering

K-Means Notebook (Optional)

K-Means Quiz

Additional Resources (Optional)

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K-Means Quiz

  1. In K-means clustering, what does KK represent?
  1. Tony is using K-means clustering to group songs into categories. He's noticed that the quality of his clusters decreases as he adds more features (like tempo, genre, and key) to describe each song. What is the name of this phenomenon where increasing the number of features can negatively impact the performance of machine learning algorithms?
  1. Sarah is using K-means to group similar products together. She would know her clustering is getting better according to the Davies-Bouldin index if:
  1. Zeina is clustering customer behavior data and her algorithm keeps running forever. What should she look for to know if her K-means has finished?
  1. What type of machine learning is clustering classified as?
  1. A data scientist is clustering customer data but notices that every time they run K-means times with K=5K = 5, they get different results. What's the most likely cause?