IEEE

Density Peaks Clustering Algorithm Based on Neighborhood Radius and Membership Degree

Abstract: The density peaks clustering (DPC) algorithm is a density-based clustering method that effectively identifies clusters with uniform densities. However, if the datasets have uneven density, ...
IEEE

Parameter-Adaptive Border Peeling Clustering Algorithm

Abstract: Most clustering algorithms require setting one or more parameters, which rely on prior knowledge or are constantly adjusted based on external indicators. To address the issues of requiring ...
Forbes

Peeking Behind The Code—IRS Just Open-Sourced Direct File

WASHINGTON, DC - FEBRUARY 13: A sign for the Internal Revenue Service (IRS) is seen outside its building on February 13, 2025 in Washington, DC. Members of Elon Musk's Department of Government ...
Scientific Research Publishing

Ikotun, A. M., Ezugwu, A. E., Abualigah, L., Abuhaija, B., & Heming, J. (2023). K-means ...

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 ...
Scientific Research Publishing

Domain Delineation Using Geological Data, Variogram Analysis, and Clustering Algorithms ()

1 Facultad de Ingeniería, Universidad Andres Bello, Santiago, Chile. 2 Department of Mining Engineering, Universidad de Chile, Santiago, Chile. 3 Advanced Mining Technology Center, Universidad de ...
Frontiers

qCLUE: a quantum clustering algorithm for multi-dimensional datasets

Clustering algorithms are at the basis of several technological applications, and are fueling the development of rapidly evolving fields such as machine learning. In the recent past, however, it has ...