K-Means Clustering Interview Questions – Set 1


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 learningThis 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

K-Means is which type of learning algorithm?

K-Means can be used to solve _____________ problems.

Which of the following algorithm has similarity with K-Means?

K-means algorithm can be used for which of the following?

K-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest _________

The goal for K-Means cost function is to ________ squared error function where error function represents distance between data points and cluster centroid

In K-Means, K stands for __________

Which of the following forms key step of K-Means clustering algorithm?

K-Means squared error function is related with which of the following?

Ajitesh Kumar

Ajitesh Kumar

Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc.

He has also authored the book, Building Web Apps with Spring 5 and Angular.
Ajitesh Kumar

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