Ixandra Achitouv,David Chavalarias,Bruno Gaume
Ixandra Achitouv
Introduction: We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in online social networks...
Discriminating Interference Fading Locations in Φ-OTDR Using Improved Density Clustering Algorithm [0.03%]
基于改进密度聚类算法的Φ-OTDR干扰定位方法研究
Hongyu Tao,Miao Yu,Zhaoyang Zhang et al.
Hongyu Tao et al.
The phase-sensitive optical time-domain reflectometer (Φ-OTDR) system is a distributed optical fiber sensing technology capable of measuring weak vibration signals in real time. However, while the use of a narrow-linewidth laser source enh...
RISM clustering algorithm based on relative density and inter-cluster connectivity degree [0.03%]
基于相对密度和类间连接度的RISM聚类算法
Ming Gong,Yuqing Zhou,Yan Ma
Ming Gong
Clustering complex data structures remains a pivotal challenge in unsupervised learning, particularly when determining the optimal number of clusters in highly non-linear datasets. In this paper, we introduce RISM (Relative Density and Inte...
HDCluster: High-Degree Graph Clustering for Robust Analysis of Single Molecule Localization Microscopy [0.03%]
用于单分子定位显微镜 robust 分析的高阶图聚类算法 HDCluster
Ismail M Khater,Ivan Robert Nabi,Ghassan Hamarneh
Ismail M Khater
Clustering is a fundamental task in data analysis: grouping similar objects together into distinguishable subsets. Here, we introduce HDCluster, a novel high-degree graph-based clustering algorithm designed to effectively and rapidly handle...
Coefficient of Variation to Assess the Reproducibility of Meal-Induced Glycemic Responses: Development of a Clustering Algorithm [0.03%]
变异系数评估餐后血糖变化的重复性：一种聚类算法的建立
Nicole Lubasinski,Hood Thabit,Paul W Nutter et al.
Nicole Lubasinski et al.
Background: Managing type 1 diabetes (T1D) requires maintaining target blood glucose levels through precise diet and insulin dosing. Predicting postprandial glycemic responses (PPGRs) based solely on carbohydrate content ...
A machine learning ensemble framework based on a clustering algorithm for improving electric power consumption performance [0.03%]
一种基于聚类算法的机器学习集成框架以提高电力消费性能
Taeyong Sim,Sanghyun Ryu,Dongjun Lee et al.
Taeyong Sim et al.
Accurate prediction of electric energy consumption is critical for both user convenience and supplier efficiency. This study introduces an ensemble approach that integrates clustering algorithms with machine learning (ML) models to enhance ...
Classic action recognition of cross-country skiing sports combining ant colony and clustering algorithm [0.03%]
结合蚁群和聚类算法的经典越野滑雪动作识别方法研究
Hongbo Yu,Yuanhui Li
Hongbo Yu
Background: As one of the oldest sports events in world sports history, cross-country skiing involves basic techniques such as mountaineering, skiing, and gliding, covering multiple classic actions during the process. ...
Yuanxing Chen,Qingzhao Zhang,Shuangge Ma
Yuanxing Chen
In functional data analysis, unsupervised clustering has been extensively conducted and has important implications. In most of the existing functional clustering analyses, it is assumed that there is a single clustering structure across the...
A deep embedded clustering algorithm in conjunction with an ensemble technique for mineral prospectivity mapping [0.03%]
一种用于矿产潜力评价的深度嵌入聚类算法与集成技术相结合的方法
Mobin Saremi,Zohre Hoseinzade,Mahyar Yousefi
Mobin Saremi
Traditional clustering algorithms are popular unsupervised methods and have been widely applied in mineral prospectivity mapping (MPM). Despite the advantages of these algorithms in terms of simplicity and popularity, they are not strong en...
Corrigendum to "Multi-view Spectral Clustering Algorithm Based on Bipartite Graph and Multi-feature Similarity Fusion" [Neural Networks, 194 (2026), 108177] [0.03%]
“基于二部图和多特征相似性融合的多视谱聚类算法”的勘误(神经网络期刊卷期页码)
Shunyong Li,Kun Liu,Mengjiao Zheng et al.
Shunyong Li et al.
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