High-performance cell atlas workflow driven by manifold fitting

Researchers from the National University of Singapore (NUS) have developed CellScope, a high-performance single-cell analysis ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
IEEE

Hierarchical clustering algorithm based on fusion rule of competitive neighborhood graph and genetic distance

Abstract: Natural neighbor can adaptively identify clusters of arbitrary shape. However, it is often difficult to obtain satisfactory clustering results when dealing with complex datasets. To solve ...
GitHub

hierarchical-clustering-algorithm

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

Bayesian Hierarchical Clustering: Advantages, Algorithm, and Optimization

Abstract: Hierarchical clustering is a method in data mining and statistics used to build a hierarchy of clusters. Traditional hierarchical clustering relies on a measure of dissimilarity to combine ...
Microsoft

An online hierarchical algorithm for extreme clustering

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 ...
C&EN

clusttraj: A Solvent-Informed Clustering Tool for Molecular Modeling

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 ...
Frontiers

Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models

Our findings suggest that, while PD is generally associated with a larger DAT deficit in specific brain structures of the neostriatum, it exhibits intrinsic heterogeneity across individuals, which may ...