What are some popular clustering algorithms?

What are some popular clustering algorithms?

Some popular clustering algorithms include K-means, Hierarchical Clustering, DBSCAN, and Gaussian Mixture Models.

Can you explain how K-means works?

K-means works by partitioning data into K distinct clusters based on feature similarity, minimizing variance within each cluster.

What are the advantages of using DBSCAN?

DBSCAN can find arbitrarily shaped clusters and is robust to noise, making it great for real-world data.

Are there any limitations to hierarchical clustering?

Yes, hierarchical clustering can be computationally expensive and may not handle large datasets efficiently.