BIOENGINEER

AI Framework Compresses Thousands of MOOC Reviews Into Concise, Accurate Summaries

Researchers at BRAC University developed ClusSumm, a framework combining hierarchical clustering with adaptive transformer ...
CU Boulder News & Events

Multivariate Clustering Analysis in R

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several ...
Nature

Hierarchical clustering analysis of pathologic and molecular data identifies prognostically and biologically distinct groups of colorectal carcinomas

This work has evaluated the potential superiority of a morphomolecular classification based on the combination of clinicopathologic and molecular features of colorectal cancers. A cohort of 126 ...
techtarget

What is clustering in machine learning and how does it work?

Clustering is a data science technique in machine learning that groups similar rows in a data set. After running a clustering technique, a new column appears in the data set to indicate the group each ...
BIOENGINEER

Machine learning maps England’s costliest patients into nine distinct groups

A machine learning analysis of over ten million English adults shows the top one percent of patients by cost account for 26.8 ...