Question
Back to all questions

What is k-means clustering? Does it find a global optimum? Implement k-means clustering, with inputs an N*D matrix and outputs k N_i*D matrices.

Tags

Data Analyst
Marketer
General
ML Knowledge

First explain the algorithm conceptually, address its limitations with local optima, then structure your implementation with clear initialization, assignment, and update steps.

Start PracticingLearn More

Companies Asking this quesiton.

Very hard Difficulty

Very-hard questions are the ultimate test of your expertise and preparation. They demand not just knowledge, but creativity and strategic thinking, often addressing unique or highly technical aspects of your field.

ML Knowledge question

ML Knowledge questions test your theoretical understanding of machine learning concepts. Showcase your grasp of algorithms, model training techniques, feature engineering, and the mathematical foundations of artificial intelligence.

Leaderboard for “K-means Clustering: Theory and Implementation?”