Many modern clustering methods scale well to a large number of data items, N, but not to a large number of clusters, K. This paper introduces PERCH, a new non-greedy algorithm for online hierarchical ...

Introduction: The relationship between physical activity and anxiety among students has been extensively studied, with research highlighting the protective effects of physical activity on mental ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Clustering techniques are consolidated as a powerful strategy for analyzing the ...

Abstract: Clustering algorithm plays a vital role in organizing large amount of information into small number of clusters which provides some meaningful information. Clustering is a process of ...

examples_distance.dat is one of the supplementary files in "Clustering by fast search and find of density peaks "sample.txt is an example dataset with 4000 instances ...

Autoimmune conditions and ‘breast implant illness’ in breast cancer patients with implant-based breast reconstructions. Proportions of patients with clinically meaningful symptoms by CL at Y1 (may not ...

The Hierarchical Quantum Pathfinding Algorithm (HQP) is an advanced pathfinding solution that combines hierarchical spatial decomposition with quantum-inspired parallel path exploration. It's designed ...

ABSTRACT: This paper presents a new algorithm for solving unit commitment (UC) problems using a binary-real coded genetic algorithm based on k-means clustering technique. UC is a NP-hard nonlinear ...

An international research team led by Dr. Zhang Suinan from the Shanghai Astronomical Observatory of the Chinese Academy of Sciences has uncovered the unique mechanisms governing star formation in the ...

About every 10 minutes, it seems, a new article about a "revolutionary breakthrough" in AI hits my screen. A new approach, a new feature, billions of dollars this, AI agents that. It has been non-stop ...