Categories: Interview questionsMachine Learning

K-Means Clustering Interview Questions – Set 1

kmeans clustering interview questions

This is a practice test on K-Means Clustering algorithm which is one of the most widely used clustering algorithm used to solve problems related with unsupervised learning. This can prove to be helpful and useful for machine learning interns / freshers / beginners planning to appear in upcoming machine learning interviews.

This practice tests consists of interview questions and answers in relation with following:

Introduction to K-Means Clustering
Cost function

Practice Test on K-Means Clustering

[wp_quiz id=”5961″]

Author
Recent Posts

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Latest posts by Ajitesh Kumar (see all)

Creating a RAG Application Using LangGraph: Example Code - February 1, 2025
Building a RAG Application with LangChain: Example Code - January 31, 2025
Building an OpenAI Chatbot with LangChain - January 30, 2025

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.