Visual Studio Magazine

Clustering Non-Numeric Data Using Python

Clustering data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...
Nature

Deep embedded clustering generalisability and adaptation for integrating mixed datatypes: two critical care cohorts

We validated a Deep Embedded Clustering (DEC) model and its adaptation for integrating mixed datatypes (in this study, numerical and categorical variables). Deep Embedded Clustering (DEC) is a ...
Nature

Distance-based clustering challenges for unbiased benchmarking studies

Modern biomedical analysis techniques such as next-generation sequencing (NGS) have opened the door for complex high-dimensional data acquisition in medicine. For example, The Cancer Genome Atlas ...
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 ...