Nature

Model-Based Clustering in High-Dimensional Data Analysis

Model-based clustering formulates the identification of groups within data as the estimation of parameters in a probabilistic mixture model. In high-dimensional settings, where the number of variables ...
Semiconductor Engineering

Transformer Model Based Clustering Methodology For Standard Cell Layout Automation (Nvidia)

A new technical paper titled “Novel Transformer Model Based Clustering Method for Standard Cell Design Automation” was published by researchers at Nvidia. “Standard cells are essential components of ...
Nature

Proteomics-based clustering outperforms clinical clustering in identifying people with heart failure with distinct outcomes

Heart failure (HF) clustering typically relies on clinical characteristics which may not reflect underlying pathophysiology relevant for personalized medicine. We aimed to identify plasma protein ...
EurekAlert!

Novel machine learning-based cluster analysis method that leverages target material property

In materials science, substances are often classified based on defining factors such as their elemental composition or crystalline structure. This classification is crucial for advances in materials ...
Visual Studio Magazine

DBSCAN Data Clustering from Scratch Using C#

Compared to other clustering techniques, DBSCAN does not require you to explicitly specify how many data clusters to use, explains Dr. James McCaffrey of Microsoft Research in this full-code, ...