How can I use clustering in segmentation?

How can I use clustering in segmentation?

Clustering is a technique used to group similar data points together. In segmentation, it helps identify distinct groups within your data.

What are some common clustering algorithms I can use?

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

Can clustering be used for customer segmentation?

Absolutely! Clustering is widely used in customer segmentation to identify different customer groups based on purchasing behavior.

What tools can I use for clustering analysis?

You can use tools like Python with libraries such as Scikit-learn, R, or even software like Tableau for clustering analysis.