Emotions are not peripheral to health; they are foundational: MUHS study

Pune: A recent study conducted by the Maharashtra University of Health Sciences (MUHS) on 130 postgraduate medical students ...

The rise of the 'Super-K' flu: What you need to know

Subclade K (previously known as J.2.4.1) is gaining attention because it appears to be spreading much earlier in the flu ...
SciELO

Comparison of clustering methods and conventional approaches for geological fracture analysis: A case study in northern Shiraz, Iran

This study investigates the application of advanced clustering methods to geological fracture analysis in the Baba Kohi anticline, located in the folded Zagros region of southwest Iran. The primary ...
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, ...
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.
IEEE

Centroid-Free K-Means With Balanced Clustering

Abstract: Currently, a wide array of clustering algorithms have emerged, yet many approaches rely on K-means to detect clusters. However, K-means is highly sensitive to the selection of the initial ...
Scientific Research Publishing

Li, Y. and Wu, H. (2012) A Clustering Method Based on K-Means Algorithm. Physics Procedia, 25, 1104-1109.

ABSTRACT: Agriculture in West Africa faces multiple challenges, such as climate variability, soil degradation, and limited access to reliable agroecological information for agricultural planning. In ...
IEEE

A Stratified Seed Selection Algorithm for

Abstract: In $k$-means clustering, the selection of initial seeds significantly influences the quality of the resulting clusters. Moreover, clustering large-sized ...
Scientific Research Publishing

Jain, A. K. (2010). Data Clustering: 50 Years Beyond K-means. Pattern Recognition Letters, 31, 651-666.

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...
GitHub

k-means-clustering

This project consists in the implementation of the K-Means and Mini-Batch K-Means clustering algorithms. This is not to be considered as the final and most efficient algorithm implementation as the ...