What is the primary goal of the K-means clustering algorithm?
Practice Questions
Q1
What is the primary goal of the K-means clustering algorithm?
Minimize the distance between points in the same cluster
Maximize the distance between different clusters
Both A and B
None of the above
Questions & Step-by-Step Solutions
What is the primary goal of the K-means clustering algorithm?
Correct Answer: To minimize the distance between points in the same cluster and maximize the distance between different clusters.
Step 1: Understand that K-means clustering is a method used to group similar data points together.
Step 2: Know that each group is called a 'cluster'.
Step 3: The algorithm tries to put data points that are close to each other into the same cluster.
Step 4: It also tries to keep different clusters as far apart from each other as possible.
Step 5: The main goal is to make sure that points in the same cluster are very similar (minimize distance) and points in different clusters are very different (maximize distance).
