Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Frontiers

A graph clustering algorithm with hypergraph learning and a core-attachment strategy for protein complex identification

Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...
Hacker

Riemannian Graph Learning & Structural Entropy: Deep Node Clustering in 2026

Deep Graph Clustering. Deep models have achieved state-of-the-art results in node clustering. Classic methods leverage a reconstructive loss to learn node representations, while identifying node ...
IEEE

Multiresolution Clustering on Massive Attributed Graphs by Means of Optimal Aggregated Markov Chains

Abstract: The efficient clustering of attributed graphs is a critical and challenging problem that has attracted much attentions across various research fields. Despite recent advancements, many ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
Frontiers

Cluster segmentation and stereo vision-based apple localization algorithm for robotic harvesting

Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as Faster R-CNN and ...
The New York Times

Calley Means, a Kennedy Adviser, Has Left the White House

Mr. Means quietly departed his federal role about a month ago. His sister has been nominated for surgeon general. By Benjamin Mueller Calley Means, an influential adviser to Health Secretary Robert F.
Scientific Research Publishing

Oti, E.U., Olusola, M.O., Eze, F.C. and Enogwe, S.U. (2021) Comprehensive Review of K-Means Clustering Algorithms. International Journal of Advances in Scientific Research and ...

ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...
IEEE

Efficient Hardware Architecture Design of K-Means Clustering Algorithm for AV1 Palette Mode Coding

Abstract: The palette mode is a specialized coding tool for coding screen content video in Alliance for Open Media Video 1 (AV1), and K-means clustering is a necessary step in the palette mode.