Patients with heart failure and reduced ejection fraction (HFrEF) have a high residual risk for heart failure hospitalizations and cardiovascular death. We aimed to use multimodality data to identify ...

BACKGROUND Leprosy, a neglected tropical disease caused by Mycobacterium leprae, presents significant public health challenges in Brazil due to its slow progression, dermato-neurological ...

Graclus (latest: Version 1.2) is a fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation. This is possible ...

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 ...

Introduction: Young patients with acute coronary syndrome (ACS) exhibit diverse demographic, clinical and angiographic characteristics. Hypothesis: We hypothesized that unsupervised machine learning ...

Abstract: Modularity is an evaluation measure for graph clustering. Louvain method is constructed by local optimization for modularity and is bottom up method as well as agglomerative hierarchical ...

Add a description, image, and links to the hierarchical-agglomerative-clustering topic page so that developers can more easily learn about it.

Introduction: Government agencies are now encouraging industries to enhance their security systems to detect and respond proactively to cybersecurity incidents. Consequently, equipping with a security ...

Department of Food, Nutrition, Dietetics, and Health, Center for Sensory Analysis and Consumer Behavior, Kansas State University, Manhattan, KS, United States Researchers commonly use hierarchical ...