When should I use clustering in data analysis?

When should I use clustering in data analysis?

Clustering is useful when you want to group similar data points together without prior labels. It helps in identifying patterns.

Can you give me some examples of when clustering is applied?

Sure! Clustering is often used in customer segmentation, image recognition, and market research to find natural groupings.

What are some popular clustering algorithms?

Some popular algorithms include K-means, hierarchical clustering, and DBSCAN. Each has its own strengths depending on the data.

How do I choose the right number of clusters?

You can use methods like the elbow method or silhouette score to determine the optimal number of clusters for your data.