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

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

Options:

Correct Answer: K-Means

Solution:

K-Means is a popular algorithm for clustering numerical data by partitioning it into K distinct clusters.

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.

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