What does the term 'centroid' refer to in K-Means clustering?

₹0.0

Question: What does the term \'centroid\' refer to in K-Means clustering?

Options:

Correct Answer: The point that represents the center of a cluster

Solution:

In K-Means clustering, a centroid refers to the point that represents the center of a cluster.

What does the term 'centroid' refer to in K-Means clustering?

What does the term 'centroid' refer to in K-Means clustering?

Step 1: Understand that K-Means clustering is a method used to group similar data points together.
Step 2: In this method, we divide the data into 'k' number of groups or clusters.
Step 3: Each cluster has a center point, which is called the 'centroid'.
Step 4: The centroid is calculated as the average position of all the data points in that cluster.
Step 5: The centroid helps to represent the entire cluster by showing where the center of the group is located.

Centroid in K-Means Clustering – A centroid is the point that represents the center of a cluster, calculated as the mean of all points in that cluster.