云南高校图书馆联盟文献共享服务平台- CLUSTERING

检索规则说明：AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：范例一： (K=图书馆学 OR K=情报学) AND A=范并思　　　　范例二：J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual

全部期刊核心期刊 EI来源期刊 SCI来源期刊 CA来源期刊 CSCD来源期刊 CSSCI来源期刊

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

Clustered Reinforcement Learning: 《Frontiers of Computer Science》2025年第4期43-57,共15页Xiao MA Shen-Yi ZHAO Zhao-Heng YIN Wu-Jun LI; supported by the National Natural Science Foundation of China(Gtant No.62192783);Fundamental Research Funds for the Central Universities(No.020214380108).; Exploration strategy design is a challenging problem in reinforcement learning(RL),especially when the environment contains a large state space or sparse rewards.During exploration,the agent tries to discover unexplor...; 关键词：deep reinforcement learning EXPLORATION count-based method CLUSTERING K-MEANS

Ordered Clustering-Based Semantic Music Recommender System Using Deep Learning Selection: 《Computers, Materials & Continua》2025年第5期3025-3057,共33页Weitao Ha Sheng Gang Yahya D.Navaei Abubakar S.Gezawa Yaser A.Nanehkaran; funded by the National Nature Sciences Foundation of China with Grant No.42250410321。; Music recommendation systems are essential due to the vast amount of music available on streaming platforms,which can overwhelm users trying to find new tracks that match their preferences.These systems analyze users...; 关键词：Music recommender system order clustering deep learning

Fuzzy Decision-Based Clustering for Efficient Data Aggregation in Mobile UWSNs: 《Computers, Materials & Continua》2025年第4期259-279,共21页Aadil Mushtaq Pandith Manni Kumar Naveen Kumar Nitin Goyal Sachin Ahuja Yonis Gulzar Rashi Rastogi Rupesh Gupta; funded by the Deanship of Scientific Research,the Vice Presidency for Graduate Studies and Scientific Research,King Faisal University,Saudi Arabia under the project(KFU250420).; Underwater wireless sensor networks(UWSNs)rely on data aggregation to streamline routing operations by merging information at intermediate nodes before transmitting it to the sink.However,many existing data aggregatio...; 关键词：CLUSTERING data aggregation data collection fuzzy model MONITORING UWSN

FedCPS:A Dual Optimization Model for Federated Learning Based on Clustering and Personalization Strategy: 《Computers, Materials & Continua》2025年第4期357-380,共24页Zhen Yang Yifan Liu Fan Feng Yi Liu Zhenpeng Liu; supported by the Foundation of President of Hebei University(XZJJ202303).; Federated learning is a machine learning framework designed to protect privacy by keeping training data on clients’devices without sharing private data.It trains a global model through collaboration between clients a...; 关键词：Federated learning CLUSTER PERSONALIZATION OVERFITTING

An Asynchronous Genetic Algorithm for Multi-agent Path Planning Inspired by Biomimicry: 《Journal of Bionic Engineering》2025年第2期851-865,共15页Bin Liu Shikai Jin Yuzhu Li Zhuo Wang Donglai Zhao Wenjie Ge; To address the shortcomings of traditional Genetic Algorithm (GA) in multi-agent path planning, such as prolonged planning time, slow convergence, and solution instability, this paper proposes an Asynchronous Genetic ...; 关键词：Multi-agent path planning Asynchronous genetic algorithm Equal-size clustering Genetic algorithm

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

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

CLUSTERING