Search scope:
排序: Display mode:
Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge
Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1, Pages 85-89 doi: 10.1007/s11465-005-0023-6
A novel fuzzy clustering method based on chaos immune evolutionary algorithm (CIEFCM) is presentedamplitude is adjusted step by step, which greatly improves the colony diversity of the immune evolution algorithmdetect the fuzzy edge and exiguous edge but can evidently improve the searching efficiency of fuzzy clusteringalgorithm based on IEA.
Keywords: disturbance amplitude disturbance diversity generation processing
Multiobjective image recognition algorithm in the fully automatic die bonder
JIANG Kai, CHEN Hai-xia, YUAN Sen-miao
Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3, Pages 313-316 doi: 10.1007/s11465-006-0026-y
Keywords: clustering different recognition algorithm Algorithm multiobjective
The research of connectivity-credibility restricted clustering algorithm in wireless sensor networks
Yu Jiming,Sun Yamin,Lei Yanjing,Yang Yuwang
Strategic Study of CAE 2010, Volume 12, Issue 9, Pages 73-77
This paper proposed a speeding clustering algorithm of connectivity-credibilityconstrained random dispose which based on some other clustering algorithms.Simulation shows that this algorithm can get large cover of clustering, logical distributing and goodComparing to the lowerst-ID clustering and highest-connectivity clustering algorithm, the algorithm canget less number of cluster-heads, more logical clustering, good communication between nodes and cluster-heads
Keywords: wireless sensor networks connectivity-credibility clustering algorithm
Ke-shi GE, Hua-you SU, Dong-sheng LI, Xi-cheng LU
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7, Pages 915-927 doi: 10.1631/FITEE.1601786
Keywords: Density peak Graphics processing unit Parallel computing Clustering
Robust Maximum Entropy Clustering Algorithm RMEC and Its Outlier Labeling
Deng Zhaohong,Wang Shitong,Wu Xisheng,Hu Dewen
Strategic Study of CAE 2004, Volume 6, Issue 9, Pages 38-45
In this paper, the novel robust maximum entropy clustering algorithm RMEC, as the improved versionof the maximum entropy algorithm MEC, is presented to overcome its drawbacks: very sensitive to outliersCompared with algorithm MEC, the main contributions of algorithm RMEC exist in its much better robustness
Keywords: entropy clustering robustness outliers ε-insensitive loss function weight factors
TIE algorithm: a layer over clustering-based taxonomy generation for handling evolving data None
Rabia IRFAN, Sharifullah KHAN, Kashif RAJPOOT, Ali Mustafa QAMAR
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6, Pages 763-782 doi: 10.1631/FITEE.1700517
Keywords: Taxonomy Clustering algorithms Information science Knowledge management Machine learning
Smart optical-fiber structure monitoring based on granular computing
Guan LU, Dakai LIANG,
Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4, Pages 462-465 doi: 10.1007/s11465-009-0073-2
Keywords: smart material and structure GrC optical fiber sensor rough set clustering algorithm
Wei Li, Siqi Chen, Xiongbin Peng, Mi Xiao, Liang Gao, Akhil Garg, Nengsheng Bao
Engineering 2019, Volume 5, Issue 4, Pages 795-802 doi: 10.1016/j.eng.2019.07.005
Keywords: Clustering algorithm Battery module Equalization Electric vehicle
Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration
Li Dejun,Lv Runhua,Wang Runtian
Strategic Study of CAE 2007, Volume 9, Issue 5, Pages 81-84
Keywords: fuzzy pattern recognition nearest neighbor(NN) cooperative clustering algorithm(CCA) slurry concentration
An anchor-based spectral clustering method None
Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11, Pages 1385-1396 doi: 10.1631/FITEE.1700262
Spectral clustering is one of the most popular and important clustering methods in pattern recognitionFor a clustering problem with n samples, it needs to compute the eigenvectors of the graph Laplacianmethods, i.e., power iteration clustering and landmark-based spectral clustering, on 10 real-world applicationsExperimental results show that ASC is consistently faster than the classical spectral clustering withcomparable clustering performance, and at least comparable with or better than the state-of-the-art
Keywords: Clustering Spectral clustering Graph Laplacian Anchors
Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP
Frontiers in Energy 2015, Volume 9, Issue 2, Pages 231-237 doi: 10.1007/s11708-015-0358-6
Keywords: non-intrusive appliance load monitoring event detection goodness-of-fit (GOF) K-means clustering
A sampling method based on URL clustering for fast web accessibility evaluation
Meng-ni ZHANG,Can WANG,Jia-jun BU,Zhi YU,Yu ZHOU,Chun CHEN
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6, Pages 449-456 doi: 10.1631/FITEE.1400377
Keywords: Page sampling URL clustering Web accessibility evaluation
A Hierarchical-Based Initialization Method for K-Means Algorithm
Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu
Strategic Study of CAE 2007, Volume 9, Issue 11, Pages 74-79
K-means algorithm is one of common clustering algorithms, but the In this paper, a hierarchical-based initialization approach is proposed for K-Means algorithm The general clustering problem is treated as weighted clustering problem, the original data Then clustering is carried out at each level by top-down.and is insensitive to noise, which is superior to some existing clustering algorithms.
Keywords: hierarchical technique initial cluster centers weighted data K-means clustering
The research of grey clustering decision of assembly sequence based on petri net
Mo Qian,Luo Yi
Strategic Study of CAE 2008, Volume 10, Issue 11, Pages 65-68
Keywords: assembly sequence petri net grey clustering decision method
Received signal strength based indoor positioning algorithm using advanced clustering and kernel ridge Research Articles
Yanfen Le, Hena Zhang, Weibin Shi, Heng Yao,leyanfen@usst.edu.cn,hyao@usst.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6, Pages 827-838 doi: 10.1631/FITEE.2000093
Keywords: 室内定位;接收信号强度(RSS)指纹;核岭回归;簇匹配;改进型分簇
Title Author Date Type Operation
Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge
Journal Article
Multiobjective image recognition algorithm in the fully automatic die bonder
JIANG Kai, CHEN Hai-xia, YUAN Sen-miao
Journal Article
The research of connectivity-credibility restricted clustering algorithm in wireless sensor networks
Yu Jiming,Sun Yamin,Lei Yanjing,Yang Yuwang
Journal Article
Efficient parallel implementation of a density peaks clustering algorithm on graphics processing unit
Ke-shi GE, Hua-you SU, Dong-sheng LI, Xi-cheng LU
Journal Article
Robust Maximum Entropy Clustering Algorithm RMEC and Its Outlier Labeling
Deng Zhaohong,Wang Shitong,Wu Xisheng,Hu Dewen
Journal Article
TIE algorithm: a layer over clustering-based taxonomy generation for handling evolving data
Rabia IRFAN, Sharifullah KHAN, Kashif RAJPOOT, Ali Mustafa QAMAR
Journal Article
Smart optical-fiber structure monitoring based on granular computing
Guan LU, Dakai LIANG,
Journal Article
A Comprehensive Approach for the Clustering of Similar-Performance Cells for the Design of a Lithium-Ion
Wei Li, Siqi Chen, Xiongbin Peng, Mi Xiao, Liang Gao, Akhil Garg, Nengsheng Bao
Journal Article
Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration
Li Dejun,Lv Runhua,Wang Runtian
Journal Article
A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load
Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP
Journal Article
A sampling method based on URL clustering for fast web accessibility evaluation
Meng-ni ZHANG,Can WANG,Jia-jun BU,Zhi YU,Yu ZHOU,Chun CHEN
Journal Article
A Hierarchical-Based Initialization Method for K-Means Algorithm
Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu
Journal Article
The research of grey clustering decision of assembly sequence based on petri net
Mo Qian,Luo Yi
Journal Article