8 observations are clustered into 3 clusters using K-Means clustering algorithm. After first iteration clusters,C1, C2, C3 has following observations:C1: {(2,2), (4,4), (6,6)}C2: {(0,4), (4,0),(2,5)}C3: {(5,5), (9,9)}What will be the cluster centroids if you want to proceed for second iteration?

🎲 Try a Random Question  |  Total Questions in Quiz: 706  |  🧠 Study this quiz with Flashcards
This question is part of a full practice quiz:
Machine Learning (ML) Practice Test Questions — practice the complete quiz, review flashcards, or try a random question.

Machine learning (ML) is a branch of artificial intelligence that leverages data to improve computer performance by giving machines the ability to "learn", or improve performance — based on the data.

There are four basic approaches to machine learning: supervised learning, unsupervised learning, semi-supervised learning and reinforcement learning.


8 observations are clustered into 3 clusters using K-Means clustering algorithm. After first iteration clusters,<br>C1, C2, C3 has following observations:<br>C1: {(2,2), (4,4), (6,6)}<br>C2: {(0,4), (4,0),(2,5)}<br>C3: {(5,5), (9,9)}<br>What will be the cluster centroids if you want to proceed for second iteration?