Cluster2A

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Clustering is an unsupervised machine learning technique that groups similar objects into the same cluster. Cluster analysis is often used in customer segmentation and outlier detection. Cluster2A uses two popular clustering algorithms, K-means and DBSCAN, to help you discover interesting patterns in your data.

For example, you can perform cluster analysis based on users’ purchase records and tailor marketing campaigns for each cluster, or recommend products that other users in the same cluster like.