Analytics Insight

Machine Learning, Stanford University

Stanford University’s Machine Learning (XCS229) is a 100% online, instructor-led course offered by the Stanford School of ...
GitHub

What is Unsupervised Learning?

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
GitHub

This repository includes unsupervised (k-means clustering) and supervised (RF and CNN) machine learning models for analyzing complex surface topographies.

Cite as: {Henkel, M., Sprenger, M., and Lieleg, O., Machine learning for small data sets: an exemplary study on the classification of highly complex surface micromorphologies, unpublished work} The ...
IEEE

Comparative Analysis of Earthquake Clustering in West Java Using Unsupervised Learning: K-Means, K-Medoids, and Fuzzy C-Means

Abstract: This study explores the use of unsupervised learning algorithms—K-Means, K-Medoids, and Fuzzy C-Means (FCM)—to identify spatial patterns in 6,005 earthquake events in West Java from 2009 to ...
Frontiers

K-means classification of long-term global vegetation index variation

Recent global warming has driven substantial changes in terrestrial vegetation, yet long-term global patterns remain insufficiently characterized. The Normalized Difference Vegetation Index (NDVI) ...
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, ...
IEEE

Unsupervised Machine Learning for Ultrasonic Flaw Detection using Gaussian Mixture Modeling, K-Means Clustering and Mean Shift Clustering

Abstract: Supervised Machine Learning (ML) algorithms such as Neural Networks, Support Vector Machines and Logistic Regression have been successfully utilized in Ultrasonic Non-Destructive Evaluation ...
Government Technology

Opinion: Teaching AI Effectively Means Learning from Past Mistakes

(TNS) — Americans have done a shoddy job of teaching reading and math to the majority of our students. Our scores, when compared to other nations — most with fewer resources — are plummeting. As a ...
Scientific Research Publishing

Application of the K-Means Algorithm in the Study of Influenza Transmission Patterns ()

As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable strain on ...
Beebom

Gemini Gets a ‘Guided Learning’ Mode for Students; Here’s How to Use It

Google has added a 'Guided Learning' mode in Gemini to promote deeper understanding of complex topics and concepts. It's available for free to all Gemini users. You can upload your course materials, ...