Practice K-means Algorithm: A Step-by-step Iterative Process (5.4.1) - Unsupervised Learning & Dimensionality Reduction (Weeks 9)
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Engineering Courses
Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Certifications
Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

K-Means Algorithm: A Step-by-Step Iterative Process

Practice - K-Means Algorithm: A Step-by-Step Iterative Process

Learning

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

If K-Means is run multiple times with different random initializations, which result is typically chosen as the best?
* Type: text
* Correct Answer: The result with the lowest Within-Cluster Sum of Squares (WCSS) or the highest Silhouette Score.
* Explanation: These metrics indicate better-formed and more distinct clusters.
* Hint: How do you evaluate the 'goodness' of a clustering result?

💡 Hint: How do you evaluate the 'goodness' of a clustering result?

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.