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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
A novel multimode process monitoring method integrating LDRSKM with Bayesian inference
Shi-jin REN,Yin LIANG,Xiang-jun ZHAO,Mao-yun YANG
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 8, Pages 617-633 doi: 10.1631/FITEE.1400263
Keywords: Multimode process monitoring Local discriminant regularized soft k-means clustering Kernel support
Weifang SHI, Weihua ZENG
Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1, Pages 117-127 doi: 10.1007/s11783-013-0581-5
Keywords:
environmental risk zoning
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
Technological lubricating means: Evolution of materials and ideas
Vladimir A. GODLEVSKIY
Frontiers of Mechanical Engineering 2016, Volume 11, Issue 1, Pages 101-107 doi: 10.1007/s11465-016-0369-y
The main stages of technological lubricating material development from ancient times to date are described. How the chemical composition of these products changed with time, how new ideas revealing the physical and chemical basics of external media that influence the mechanical processing of materials appeared, how these ideas explained the differences between traditional tribology and specific technology of metal processing are discussed. The question of the possible realization of Rehbinder’s adsorption effect in contact zone is also stated. The description of a very captivating problem is related to the explanation of the mechanism of lubricant penetration into the contact zone between the material being processed and the tool. The birth and development of the hypothesis of microcapillary penetration of the lubricant into the dynamically changed intersurface clearance that has finally led to formulating the “necessary kinetic condition of the lubricating activity” is relayed.
Keywords: technological lubrication and cooling metal cutting grinding lubrication action tribology
Shan-Shan Yang,Xin-Lei Yu,Chen-Hao Cui,Jie Ding,Lei He,Wei Dai,Han-Jun Sun,Shun-Wen Bai,Yu Tao,Ji-Wei Pang,Nan-Qi Ren,
Engineering doi: 10.1016/j.eng.2022.02.011
Keywords: Wastewater treatment plants Cloud-model theory Data mining Principal component analysis K -means clustering
Generalized labeled multi-Bernoulli filter with signal features of unknown emitters Research Article
Qiang GUO, Long TENG, Xinliang WU, Wenming SONG, Dayu HUANG
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12, Pages 1871-1880 doi: 10.1631/FITEE.2200286
A novel algorithm that combines the (GLMB) filter with signal features of the unknown emitter is proposed in this paper. In complex electromagnetic environments, emitter features (EFs) are often unknown and time-varying. Aiming at the unknown feature problem, we propose a method for identifying EFs based on of data fields. Because EFs are time-varying and the probability distribution is unknown, an improved algorithm is proposed to calculate the correlation coefficients between the target and measurements, to approximate the EF likelihood function. On this basis, the EF likelihood function is integrated into the recursive GLMB filter process to obtain the new prediction and update equations. Simulation results show that the proposed method can improve the tracking performance of multiple targets, especially in heavy clutter environments.
Keywords: Multi-target tracking Generalized labeled multi-Bernoulli Signal features of emitter Fuzzy C-means Dynamic clustering
Flux-free brazing of Mg-containing aluminium alloys by means of cold spraying
BOBZIN Kirsten, ZHAO Lidong, ERNST Felix, RICHARDT Katharina
Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4, Pages 355-359 doi: 10.1007/s11465-008-0055-9
Keywords: diffusion metallurgical substrate Mg-containing aluminium spraying
Generating native user interfaces formultiple devices by means ofmodel transformation
Ignacio MARIN,Francisco ORTIN,German PEDROSA,Javier RODRIGUEZ
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12, Pages 995-1017 doi: 10.1631/FITEE.1500083
Keywords: Model-to-model transformation Native user interfaces Model-based user interfaces Model-driven engineering
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
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
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 presenteddetect the fuzzy edge and exiguous edge but can evidently improve the searching efficiency of fuzzy clustering
Keywords: disturbance amplitude disturbance diversity generation processing
A. F. D’ Intino,B. de Caprariis,M.L. Santarelli,N. Verdone,A. Chianese
Frontiers of Chemical Science and Engineering 2014, Volume 8, Issue 2, Pages 156-160 doi: 10.1007/s11705-014-1427-9
Keywords: hydroxyapatite nanoparticles spinning disc reactor
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
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
Title Author Date Type Operation
A Hierarchical-Based Initialization Method for K-Means Algorithm
Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu
Journal Article
A novel multimode process monitoring method integrating LDRSKM with Bayesian inference
Shi-jin REN,Yin LIANG,Xiang-jun ZHAO,Mao-yun YANG
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
Technological lubricating means: Evolution of materials and ideas
Vladimir A. GODLEVSKIY
Journal Article
Cloud-Model-Based Feature Engineering to Analyze the Energy–Water Nexus of a Full-Scale Wastewater Treatment Plant
Shan-Shan Yang,Xin-Lei Yu,Chen-Hao Cui,Jie Ding,Lei He,Wei Dai,Han-Jun Sun,Shun-Wen Bai,Yu Tao,Ji-Wei Pang,Nan-Qi Ren,
Journal Article
Generalized labeled multi-Bernoulli filter with signal features of unknown emitters
Qiang GUO, Long TENG, Xinliang WU, Wenming SONG, Dayu HUANG
Journal Article
Flux-free brazing of Mg-containing aluminium alloys by means of cold spraying
BOBZIN Kirsten, ZHAO Lidong, ERNST Felix, RICHARDT Katharina
Journal Article
Generating native user interfaces formultiple devices by means ofmodel transformation
Ignacio MARIN,Francisco ORTIN,German PEDROSA,Javier RODRIGUEZ
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
Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge
Journal Article
Best operating conditions to produce hydroxyapatite nanoparticles by means of a spinning disc reactor
A. F. D’ Intino,B. de Caprariis,M.L. Santarelli,N. Verdone,A. Chianese
Journal Article
The research of grey clustering decision of assembly sequence based on petri net
Mo Qian,Luo Yi
Journal Article