IEEE

ReShape: A Universal Data Processing Approach for Clustering Inhomogeneous and Weakly Separated Manifold Data

Abstract: Classical clustering methods such as k-means, spectral clustering, DBSCAN, and DPC often operate under specific assumptions about data characteristics. However, the increasing diversity and ...
IEEE

A Selection Model for Optimal Fuzzy Clustering Algorithm and Number of Clusters Based on Competitive Comprehensive Fuzzy Evaluation

Abstract: Fuzzy $c$-means (FCM) and its variants suffer from two problems---local minima and cluster validity---which have a direct impact on the formation of final ...
The Straits Times

S’pore studying restrictions on direct messaging, auto-play on social media to protect kids

SINGAPORE – Social media features such as direct messaging and video auto-play may soon be restricted as the Singapore authorities study ways to protect children from online harms and addiction. This ...
GitHub

C++ fast hierarchical clustering algorithms

This is a simplified C++ interface to the fast implementations of hierarchical clustering by Daniel Müllner. The original library with interfaces to R and Python can be found on danifold.net and is ...
Scientific Research Publishing

A Study of Triangle Inequality Violations in Social Network Clustering ()

1 Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh. 2 Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany. A social network refers to ...
Frontiers

Clustering and disease subtyping in Neuroscience, toward better methodological adaptations

The increasing interest in identifying disease biomarkers to understand psychiatric and neurological conditions has led to large patient registries and cohorts. Traditionally, clinically defined ...
ScienceAlert

Behold, The First Direct Images of The Cosmic Web in The Dark Reaches of The Universe

The vast, mostly invisible network of filaments that spans and connects the Universe has finally been spotted gleaming in the darkness. In the inky reaches of intergalactic space, astronomers have ...
PNAS

Reducing overprediction of molecular crystal structures via threshold clustering

Accurately predicting the arrangement of molecular building blocks in crystalline materials is expected to greatly advance the applications of these materials by allowing candidates to be designed and ...
ons.gov.uk

Clustering local authorities against subnational indicators, England

We have grouped together similar local authorities ("clusters"), using a k-means clustering method, against metrics reported on our subnational indicators explorer; our analysis allows users to ...
Scientific Research Publishing

Maternal and Child Health Care Quality Assessment: An Improved Approach Using K-Means Clustering ()

1 Department of Communication Science and Engineering, Nelson Mandela Institution of Science and Technology, Arusha, Tanzania. 2 School for Information Sciences, Center for Information and Systems, ...
GitHub

Deep Clustering for Unsupervised Learning of Visual Features

We release paper and code for SwAV, our new self-supervised method. SwAV pushes self-supervised learning to only 1.2% away from supervised learning on ImageNet with a ResNet-50! It combines online ...