Fuzheng Liu Examines Transformer-XL Modeling of E-Commerce User Behavior and Real-Time Behavioral Analysis

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...
BMJ Global Health

Clustering of countries based on national essential medicines lists: cross-sectional study

Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...

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 ...
The Marshall Project

How We Cleaned Up and Clarified Federal Data on Deaths in Custody

Under the terms of the Death in Custody Reporting Act, the Justice Department is required to collect information about everyone who dies in prisons and jails across the United States. The intention ...
GitHub

Machine Learning Methods: Clustering

Created with R2024b. Compatible with R2024b and later releases. You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module ...
Hacker

Music & ML: Clustering on Spotify Audio Features

Excited about solving real-world problems through data. Music surrounds us every day. It sets us up, motivates us, and even enhances cognitive performance. Fast rhythmic beats can boost our energy, ...
Analytics Insight

Most Important AI Algorithms for Beginners in 2025

As we progress into 2025, Artificial Intelligence (AI) continues to reshape industries and revolutionize how we interact with technology. For those starting their journey in AI, it’s essential to ...
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
PNAS

Single-cell analysis via manifold fitting: A framework for RNA clustering and beyond

Contributed by Shing-Tung Yau; received January 29, 2024; accepted July 19, 2024; reviewed by Stephan Huckemann and Jingyi Jessica Li Single-cell RNA sequencing (scRNA-seq) analysis, crucial for ...
IEEE

Robust k-Means-Type Clustering for Noisy Data

Abstract: Data clustering is a fundamental machine learning task that seeks to categorize a dataset into homogeneous groups. However, real data usually contain noise, which poses significant ...
Visual Studio Magazine

Gaussian Mixture Model Data Clustering from Scratch Using C#

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.