Nature

Research on collaborative filtering algorithm based on improved K-means algorithm for user attribute rating and co-rating

With the rapid expansion of the Internet in the information age, individuals can effortlessly access a vast array of data on a daily basis. However, this phenomenon also gives rise to challenges such ...
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 ...