Clustering algorithms are a powerful form of AI that can be applied to business challenges from customer segmentation to fraud detection.

In this paper, product usage data, employing a substitution-in-use criterion, are analyzed and shown to yield managerially useful product-market structures for financial services. These structures are ...

Our Data Science Lab guru explains how to implement the k-means technique for data clustering, or cluster analysis, which is the process of grouping data items so that similar items belong to the same ...

Sequential agglomerative hierarchical clustering schemes are considered in particular detail, and several new methods are proposed. The new algorithms are characterized by their ability to "adapt" to ...

Semantic keyword clustering can take your keyword research to the next level. Here's a Python script to help you do just that.