Visual Studio Magazine

K-Means Data Clustering from Scratch Using C#

K-means is comparatively simple and works well with large datasets, but it assumes clusters are circular/spherical in shape, so it can only find simple cluster geometries. Data clustering is the ...
Visual Studio Magazine

Data Clustering Using a Self-Organizing Map (SOM) with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on technique for visualizing and clustering data. A self-organizing map (SOM) is a data structure that can be used ...
TechRepublic

Customer Segmentation of Bank based on Data Mining – Security Value based Heuristic Approach as a Replacement to K-means Segmentation

K-means segmentation algorithm can be applied to customer segmentation in banks. If loan over-due amount of bank customers are normally distributed, then k-means can be used. In cases of significant ...
VentureBeat

The business value of clustering algorithms

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A single type of machine learning algorithm can be used to identify fake ...