Nature

Enhancing classification accuracy in medical datasets using a hybrid distance and cluster refinement-based K-means clustering method

Machine learning methods, especially the K_Means clustering method, have demonstrated potential in analyzing medical data by facilitating pattern detection. However, the classic K_Means algorithm ...
Visual Studio Magazine

Clustering Mixed Categorical and Numeric Data Using k-Means with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique. Data clustering is the process of grouping data items together so ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
Nature

A new possibilistic-based clustering method for probability density functions and its application to detecting abnormal elements

Cluster analysis can also detect abnormalities besides building a basis for identifying elements into clusters. Detecting abnormalities is a highly developed feature in the field of unsupervised ...