What is clustering in machine learning?

What is clustering in machine learning?

Clustering is a technique used in machine learning to group similar data points together based on their features.

Can you explain the different types of clustering methods?

Sure! Common clustering methods include K-means, hierarchical clustering, and DBSCAN, each with its own approach.

What are some real-world applications of clustering?

Clustering is used in customer segmentation, image recognition, and anomaly detection, among other applications.

How do I choose the right clustering algorithm for my data?

Choosing the right algorithm depends on your data's characteristics, such as size, shape, and the number of clusters you expect.