Agglomerative Clustering

Here you’ll find everything about agglomerative clustering, including Python tutorials on use cases and conceptual articles.

Agglomerative clustering is a hierarchical method of clustering data points into groups, or clusters, based on their similarity. It is a bottom-up approach to clustering, where each data point is initially treated as its own cluster and then combined with other clusters as the algorithm progresses.

How to Use Hierarchical Clustering For Customer Segmentation in Python

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Have you ever found yourself wondering how you can better understand your customer base and target your marketing efforts more effectively? One solution is to use hierarchical clustering, a method of grouping customers into clusters based on their characteristics and behaviors. By dividing your customers into distinct groups, you can tailor your marketing campaigns and … Read more