In a K-means clustering algorithm, if you have 5 clusters and 100 data points, how many centroids will be initialized?
Practice Questions
1 question
Q1
In a K-means clustering algorithm, if you have 5 clusters and 100 data points, how many centroids will be initialized?
5
100
50
10
In K-means clustering, the number of centroids initialized is equal to the number of clusters. Therefore, if there are 5 clusters, 5 centroids will be initialized.
Questions & Step-by-step Solutions
1 item
Q
Q: In a K-means clustering algorithm, if you have 5 clusters and 100 data points, how many centroids will be initialized?
Solution: In K-means clustering, the number of centroids initialized is equal to the number of clusters. Therefore, if there are 5 clusters, 5 centroids will be initialized.
Steps: 5
Step 1: Understand what K-means clustering is. It is a method used to group data points into clusters.
Step 2: Identify how many clusters you want to create. In this case, it is 5 clusters.
Step 3: Know that in K-means, each cluster has a center point called a centroid.
Step 4: Realize that the number of centroids is the same as the number of clusters.
Step 5: Since there are 5 clusters, you will initialize 5 centroids.
