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

For example, I passed the encoded and normalized data to the scikit-learn Python language KMeans module and got identical results as the C# KMeans implementation presented in this article. The ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of data clustering and anomaly detection using the DBSCAN (Density Based Spatial Clustering of Applications ...

uCLUST – A New Algorithm for Clustering Unstructured Data Data that resides in a fixed field within a record or file is called structured data and have a defined schema.

We introduce a new divisive clustering algorithm which has features that are in common with both Ward's agglomerative algorithm and classification and regression trees. We analyse British Household ...

In addition, we show that in the case of a rank aggregation or consensus clustering problem, if the input rankings or clusterings obey the constraints, then we can always ensure that the output of any ...