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 ...
GitHub

Ballot: Balanced k-means clustering with optimal transport

Ballot (Balanced Lloyd with Optimal Transport) is a high-performance Python package for balanced clustering. It solves the problem of creating equal-sized clusters (or clusters with specific capacity ...
IEEE

A Topological-Indicators-Based k-Means Clustering Algorithm and Its Application in Time Series Data: A Case Study on Sea Level Variability in Peninsular Malaysia

Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...
Hosted on MSN

K&N air filter recharge tutorial on GMC Yukon

Rachel Pizzolato performs a K&N air filter recharge on her GMC Yukon. Trump confronted at Davos with giant 'No Kings' message on mountain Suspected gunman uttered 4 words before shooting Indiana judge ...