New JWST images of abnormally well-developed galaxy cluster open up the 'cosmic noon' frontier

A stunningly concentrated and hefty galaxy cluster, from a time in the universe's history when such massive structures aren't ...
Visual Studio Magazine

Data Clustering Using Entropy Minimization

Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...
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 ...
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 ...
Nature

Machine learning for cluster analysis of localization microscopy data

Once raw single-molecule localization microscopy (SMLM) data have been obtained and the positions of emitters localized, there is the further challenge of how to effectively analyze the resulting data ...