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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

Frontiers in Energy 2015, Volume 9, Issue 2,   Pages 231-237 doi: 10.1007/s11708-015-0358-6

Abstract: In this paper, a systematic approach to ON-OFF event detection and clustering analysis for NIALM wereThe results from the ON-OFF pairing algorithm were further clustered in groups utilizing the -means clusteringanalysis.The -means clustering were implemented as an unsupervised learning methodology for the clustering analysiselectrical appliance is turned ON through combination of event detection, ON-OFF pairing and -means clustering

Keywords： non-intrusive appliance load monitoring     event detection     goodness-of-fit (GOF)     K-means clustering    

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Clustering economic sectors in China on a life cycle basis to achieve environmental sustainability

Sai LIANG, Tianzhu ZHANG, Xiaoping JIA

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 1,   Pages 97-108 doi: 10.1007/s11783-012-0402-2

Abstract: Integrating a set of criteria, a hybrid input-output model and the hierarchical cluster analysis, this

Keywords： cluster analysis     input-output model     life cycle     material flow analysis     sustainable development    

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Seasonal variations of transport pathways andpotential sources of PM

Yuan Chen, Shaodong Xie, Bin Luo

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 1, doi: 10.1007/s11783-018-1009-z

Abstract: sourcesof PM in Chengdu during 2012–2013were investigated based on hourly PM data,backward trajectories, clusteringanalysis, potential source contributionfunction (PSCF), and concentration-weighted trajectory (CWT)

Keywords： Transport pathway     Backwardtrajectory     Clustering analysis     Potential source     Chengdu    

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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

Abstract:

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    

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Association of metabolic syndrome with arterial compliance in children and adolescents

ZHANG Li, MI Jie, LI Ming, JIANG Benyu

Frontiers of Medicine 2007, Volume 1, Issue 1,   Pages 68-73 doi: 10.1007/s11684-007-0014-6

Abstract: With the increase of the clustering of MS components, SI and HOMA-IR were gradually increased.After taking account of gender, age and pubertal development, the partial correlation analysis showedcompliance of MS group was significantly lowered in children and adolescents, and with the increase of the clustering

Keywords： compliance assessment     correlation analysis     cardiovascular     clustering     HOMA-IR    

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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

Abstract: In existing stratified sampling methods, however, all the pages in a website need to be analyzed for clusteringTo address this issue, we propose a novel page sampling method based on URL clustering for web accessibility

Keywords： Page sampling     URL clustering     Web accessibility evaluation    

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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

Abstract:

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    

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A chemometric analysis on the fluorescent dissolved organic matter in a full-scale sequencing batch reactor

Chen Qian, Wei Chen, Wei-Hua Li, Han-Qing Yu

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 4, doi: 10.1007/s11783-017-0962-2

Abstract: Fluorescence excitation-emission matrix (EEM) in combination with parallel factor analysis (PARAFAC)However, a recent work has revealed the drawback of PARAFAC analysis, i.e., overestimating the componentA novel method, parallel factor framework-clustering analysis (PFFCA), has been developed in our earlier

Keywords： plants (WWTPs)     Excitation-emission matrix (EEM)     Parallel factor (PARAFAC)     Parallel factor framework-clusteringanalysis (PFFCA)    

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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

Abstract: certainly qualitative, fuzzy, non-numerical, assembly sequence is regarded as a gray system, and grey clusteringThis paper analyzes the gray classification of the influence factor and studies grey clustering decisionThe analysis of example indicates this method can evaluate correctly the feasible assembly sequences

Keywords： assembly sequence     petri net     grey clustering decision method    

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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

Abstract: It serves as a layer over an existing clustering-based taxonomy generation technique and allows an existing

Keywords： Taxonomy     Clustering algorithms     Information science     Knowledge management     Machine learning    

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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

Abstract:

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    

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Efficient parallel implementation of a density peaks clustering algorithm on graphics processing unit Article

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

Abstract: algorithm has been widely used in scientific research due to its novel and effective peak density-based clusteringIn light of our analysis, we propose an efficient parallel DP algorithm targeting on a GPU architecture

Keywords： Density peak     Graphics processing unit     Parallel computing     Clustering    

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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

Abstract:

In this paper, the novel robust maximum entropy clustering algorithm RMEC, as the improved version

Keywords： entropy     clustering     robustness     outliers     ε-insensitive loss function     weight factors    

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Application of

Weifang SHI, Weihua ZENG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 117-127 doi: 10.1007/s11783-013-0581-5

Abstract: presents a new zoning method by determining and categorizing the risk characteristics using the -means clusteringChemical Industrial Park using a 100 m × 100 m mesh grid as the basic zoning unit, and then use -means clusteringWe obtain the optimal clustering number with the largest average silhouette coefficient by calculatingthe average silhouette coefficients of clustering at different -values.The clustering result with the optimal clustering number is then used for the environmental risk zoning

Keywords： environmental risk zoning     k-means clustering     silhouette coefficient     chemical industrial    

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Embedding expert demonstrations into clustering buffer for effective deep reinforcement learning Research Article

Shihmin WANG, Binqi ZHAO, Zhengfeng ZHANG, Junping ZHANG, Jian PU

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1541-1556 doi: 10.1631/FITEE.2300084

Abstract: Then we introduce a clustering buffer for modeling the internal hierarchy, which consists of on-policy

Keywords： Reinforcement learning     Sample efficiency     Sampling process     Clustering methods     Autonomous driving    

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Title Author Date Type Operation

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

Clustering economic sectors in China on a life cycle basis to achieve environmental sustainability

Sai LIANG, Tianzhu ZHANG, Xiaoping JIA

Journal Article

Seasonal variations of transport pathways andpotential sources of PM

Yuan Chen, Shaodong Xie, Bin Luo

Journal Article

An anchor-based spectral clustering method

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Journal Article

Association of metabolic syndrome with arterial compliance in children and adolescents

ZHANG Li, MI Jie, LI Ming, JIANG Benyu

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

A chemometric analysis on the fluorescent dissolved organic matter in a full-scale sequencing batch reactor

Chen Qian, Wei Chen, Wei-Hua Li, Han-Qing Yu

Journal Article

The research of grey clustering decision of assembly sequence based on petri net

Mo Qian,Luo Yi

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

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

Application of

Weifang SHI, Weihua ZENG

Journal Article

Embedding expert demonstrations into clustering buffer for effective deep reinforcement learning

Shihmin WANG, Binqi ZHAO, Zhengfeng ZHANG, Junping ZHANG, Jian PU

Journal Article