If a dataset has 200 points and you apply K-means clustering with K=4, how many
Practice Questions
Q1
If a dataset has 200 points and you apply K-means clustering with K=4, how many points will be assigned to each cluster on average?
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Questions & Step-by-Step Solutions
If a dataset has 200 points and you apply K-means clustering with K=4, how many points will be assigned to each cluster on average?
Correct Answer: 50
Step 1: Identify the total number of points in the dataset, which is 200.
Step 2: Identify the number of clusters you want to create, which is K=4.
Step 3: To find the average number of points per cluster, divide the total number of points by the number of clusters: 200 points ÷ 4 clusters.
Step 4: Calculate the result: 200 ÷ 4 = 50.
Step 5: Conclude that on average, each cluster will have 50 points assigned to it.
K-means Clustering – A method of partitioning a dataset into K distinct clusters based on feature similarity.
Average Distribution – Understanding how to calculate the average number of points per cluster when dividing a total number of points by the number of clusters.
