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 ...
The Manila Times

WiMi Launches Quantum-Assisted Unsupervised Data Clustering Technology Based on Neural Networks

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, today announced the launch of a disruptive technology-quantum ...
JSTOR Daily

Bayesian Variable Selection in Clustering High-Dimensional Data with Substructure

In this article we focus on clustering techniques recently proposed for high-dimensional data that incorporate variable selection and extend them to the modeling of data with a known substructure, ...
JSTOR Daily

Cluster–Robust Variance Estimation for Dyadic Data

Dyadic data are common in the social sciences, although inference for such settings involves accounting for a complex clustering structure. Many analyses in the social sciences fail to account for the ...