Which of the following algorithms is commonly used for clustering numerical data

Which of the following algorithms is commonly used for clustering numerical data?

Which of the following algorithms is commonly used for clustering numerical data?

Step 1: Understand what clustering means. Clustering is a way to group similar data points together.
Step 2: Know that numerical data consists of numbers that can be measured or counted.
Step 3: Learn about K-Means, which is a method used to cluster numerical data.
Step 4: K-Means works by choosing a number 'K' which represents how many clusters you want to create.
Step 5: The algorithm then randomly selects 'K' points as the initial cluster centers.
Step 6: It assigns each data point to the nearest cluster center based on distance.
Step 7: After assigning all points, it recalculates the cluster centers by finding the average of the points in each cluster.
Step 8: Steps 6 and 7 are repeated until the cluster centers no longer change significantly.

No concepts available.