Frontiers

Density peak clustering algorithm based on weighted mutual K-nearest neighbors

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...
IEEE

An Enhanced Density Peak Clustering Algorithm With Dimensionality Reduction and Relative Density Normalization for High-Dimensional Duplicate Data

Abstract: Cluster analysis is a fundamental method for studying big data problems, as it groups samples based on shared features. In cluster analysis, a particular class of big data problems is ...
IEEE

Anisotropic-Gaussian-Kernel-Based Fuzzy Clustering Algorithm for Feature Selection

Abstract: Soft clustering algorithms based on fuzzy C-means (FCM) have been extensively applied to complex data analysis. However, existing FCM variants still encounter key limitations: a large number ...
Forbes

The Local Content Cluster Strategy: How To Outrank Your Competitors

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. After nearly two decades helping local businesses improve their SEO, I’ve seen the same ...
GitHub

A Global Structure-Aware NMF Algorithm for Single-Cell RNA-seq Clustering

This project constructed a nonnegative matrix factorization model integrating two scRNA-seq. This model is called the Integrated Nonnegative Low Rank Matrix Factorization (INLRMF), which can ...
ascopubs.org

An online clustering algorithm predicting model for prostate cancer based on PHI-related variables and PI-RADS in different PSA populations.

PSMA-based PET imaging in newly diagnosed, high-risk localized prostate cancer, a National Cancer Institute (NCI) Cancer Moonshot trial. This is an ASCO Meeting Abstract from the 2025 ASCO ...
Scientific Research Publishing

Hartigan, J. A. (1975). Clustering Algorithms, Wiley Series in Probability and Mathematical Statistics (p. 365). John Wiley & Sons Inc.

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 ...