Nature

An investigation into epidemiological situations of COVID-19 with fuzzy K-means and K-prototype clustering methods

COVID-19, a disease caused by the novel coronavirus, was first reported in December 2019 in the city of Wuhan, located in Hubei Province in China. The virus quickly spread to other countries, with ...
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 ...
TechRepublic

A H-K Clustering Algorithm for High Dimensional Data Using Ensemble Learning

Advances made to the traditional clustering algorithms solve the various problems such as curse of dimensionality and sparsity of data for multiple attributes. The traditional H-K clustering algorithm ...
Phys.org

Clustering algorithm helps scientists make sense of vast amounts of molecular data

Thanks to technological advances, scientists have access to vast amounts of data, but in order to put it to work and draw conclusions, they need to be able to process it. In research recently ...