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A novel method for clustering cellular data to improve classification: 《Neural Regeneration Research》2025年第9期2697-2705,共9页Diek W.Wheeler Giorgio A.Ascoli; supported in part by NIH grants R01NS39600,U01MH114829;RF1MH128693(to GAA)。; Many fields,such as neuroscience,are experiencing the vast prolife ration of cellular data,underscoring the need fo r organizing and interpreting large datasets.A popular approach partitions data into manageable subse...; 关键词：cellular data clustering dendrogram data classification Levene's one-tailed statistical test unsupervised hierarchical clustering

Reactive Power Optimization Model of Active Distribution Network with New Energy and Electric Vehicles: 《Energy Engineering》2025年第3期985-1003,共19页Chenxu Wang Jing Bian Rui Yuan; funded by the“Research and Application Project of Collaborative Optimization Control Technology for Distribution Station Area for High Proportion Distributed PV Consumption(4000-202318079A-1-1-ZN)”of the Headquarters of the State Grid Corporation.; Considering the uncertainty of grid connection of electric vehicle charging stations and the uncertainty of new energy and residential electricity load,a spatio-temporal decoupling strategy of dynamic reactive power o...; 关键词：Active distribution network new energy electric vehicles dynamic reactive power optimization kmedoids clustering hybrid optimization algorithm

Data Gathering Based on Hybrid Energy Efficient Clustering Algorithm and DCRNN Model in Wireless Sensor Network: 《China Communications》2025年第3期115-131,共17页Li Cuiran Liu Shuqi Xie Jianli Liu Li; partially supported by the National Natural Science Foundation of China(62161016);the Key Research and Development Project of Lanzhou Jiaotong University(ZDYF2304);the Beijing Engineering Research Center of Highvelocity Railway Broadband Mobile Communications(BHRC-2022-1);Beijing Jiaotong University。; In order to solve the problems of short network lifetime and high data transmission delay in data gathering for wireless sensor network(WSN)caused by uneven energy consumption among nodes,a hybrid energy efficient clu...; 关键词：CLUSTERING data gathering DCRNN model network lifetime wireless sensor network

LayerCFL:an efcient federated learning with layer-wised clustering: 《Cybersecurity》2025年第1期72-85,共14页Jie Yuan Rui Qian Tingting Yuan Mingliang Sun Jirui Li Xiaoyong Li; Supported by the National Natural Science Foundation of China(No.62002028,No.62102040 and No.62202066).; Federated Learning(FL)sufers from the Non-IID problem in practice,which poses a challenge for efcient and accurate model training.To address this challenge,prior research has introduced clustered FL(CFL),which involve...; 关键词：Federated learning Clustered federated learning Non-IID Layer-wised clustering

kProtoClust:Towards Adaptive k-Prototype Clustering without Known k: 《Computers, Materials & Continua》2025年第3期4949-4976,共28页Yuan Ping Huina Li Chun Guo Bin Hao; supported by the National Natural Science Foundation of China under Grant No.62162009;the Key Technologies R&D Program of He’nan Province under Grant No.242102211065;the Scientific Research Innovation Team of Xuchang University under GrantNo.2022CXTD003;Postgraduate Education Reform and Quality Improvement Project of Henan Province under Grant No.YJS2024JD38.; Towards optimal k-prototype discovery,k-means-like algorithms give us inspirations of central samples collection,yet the unstable seed samples selection,the hypothesis of a circle-like pattern,and the unknown K are st...; 关键词：Prototype finding convex hull support vector data description geometrical information

Multi-Order Neighborhood Fusion Based Multi-View Deep Subspace Clustering: 《Computers, Materials & Continua》2025年第3期3873-3890,共18页Kai Zhou Yanan Bai Yongli Hu Boyue Wang; supported by the National Key R&D Program of China(2023YFC3304600).; Existing multi-view deep subspace clustering methods aim to learn a unified representation from multi-view data,while the learned representation is difficult to maintain the underlying structure hidden in the origin s...; 关键词：Multi-view subspace clustering subspace clustering deep clustering multi-order graph structure

Mitigating Hotspot Problem Using Northern Goshawk Optimization Based Energy Aware Multi-Hop Communication for Wireless Sensor Networks: 《China Communications》2025年第2期283-298,共16页S.Leones Sherwin Vimalraj J.Lydia; Wireless Sensor Network(WSN)comprises a set of interconnected,compact,autonomous,and resource-constrained sensor nodes that are wirelessly linked to monitor and gather data from the physical environment.WSNs are commo...; 关键词：CLUSTERING energy efficiency metaheuristics multihop communication network lifetime wireless sensor networks

Characterization and clustering of rock discontinuity sets:A review: 《Journal of Rock Mechanics and Geotechnical Engineering》2025年第2期1240-1262,共23页Changle Pu Jiewei Zhan Wen Zhang Jianbing Peng; funding support from the National Natural Science Foundation of China(Grant No.42007269);the Young Talent Fund of Xi'an Association for Science and Technology(Grant No.959202313094);the Fundamental Research Funds for the Central Universities,CHD(Grant No.300102263401).; The characterization and clustering of rock discontinuity sets are a crucial and challenging task in rock mechanics and geotechnical engineering.Over the past few decades,the clustering of discontinuity sets has under...; 关键词：Discontinuity clustering Clustering algorithms Discontinuity characterization Orientation analysis Rock mass

Spatiotemporal Distributions of Mortality Rates: 《Journal of Biosciences and Medicines》2025年第1期406-416,共11页Getachew A. Dagne; Geographical variations in all-cause mortality rates may be influenced by residents’ place of residence and the time period under study. Understanding these variations is essential for designing effective public heal...; 关键词：CLUSTERING Geographical Mapping MORTALITY POISSON

DKP-SLAM:A Visual SLAM for Dynamic Indoor Scenes Based on Object Detection and Region Probability: 《Computers, Materials & Continua》2025年第1期1329-1347,共19页Menglin Yin Yong Qin Jiansheng Peng; the National Natural Science Foundation of China(No.62063006);to the Guangxi Natural Science Foundation under Grant(Nos.2023GXNSFAA026025,AA24010001);to the Innovation Fund of Chinese Universities Industry-University-Research(ID:2023RY018);to the Special Guangxi Industry and Information Technology Department,Textile and Pharmaceutical Division(ID:2021 No.231);to the Special Research Project of Hechi University(ID:2021GCC028);to the Key Laboratory of AI and Information Processing,Education Department of Guangxi Zhuang Autonomous Region(Hechi University),No.2024GXZDSY009。; In dynamic scenarios,visual simultaneous localization and mapping(SLAM)algorithms often incorrectly incorporate dynamic points during camera pose computation,leading to reduced accuracy and robustness.This paper prese...; 关键词：Visual SLAM dynamic scene YOLOX K-means++clustering dynamic probability

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