Using principal component analysis and fuzzy c–means clustering for the assessment of air quality monitoring

Air Quality ◽

Principal Component ◽

Component Analysis ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Fuzzy C Means ◽

Identification of Redundant Air Quality Monitoring Stations using Robust Principal Component Analysis

Environmental Modeling & Assessment ◽

10.1007/s10666-020-09717-7 ◽

2020 ◽

Vol 25 (4) ◽

pp. 521-530

Author(s):

Higor Henrique Aranda Cotta ◽

Valdério Anselmo Reisen ◽

Pascal Bondon ◽

Paulo Roberto Prezotti Filho

Keyword(s):

Air Quality ◽

Principal Component ◽

Component Analysis ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Robust Principal Component Analysis ◽

Air Quality Monitoring Stations ◽

Monitoring Stations

PM10and gaseous pollutants trends from air quality monitoring networks in Bari province: principal component analysis and absolute principal component scores on a two years and half data set

Chemistry Central Journal ◽

10.1186/1752-153x-8-14 ◽

2014 ◽

Vol 8 (1) ◽

Cited By ~ 8

Author(s):

Pierina Ielpo ◽

Vincenzo Paolillo ◽

Gianluigi de Gennaro ◽

Paolo Rosario Dambruoso

Keyword(s):

Air Quality ◽

Principal Component ◽

Component Analysis ◽

Quality Monitoring ◽

Gaseous Pollutants ◽

Air Quality Monitoring ◽

Monitoring Networks ◽

Data Set ◽

Component Scores

Performance assessment of air quality monitoring networks using principal component analysis and cluster analysis

Building and Environment ◽

10.1016/j.buildenv.2010.09.004 ◽

2011 ◽

Vol 46 (3) ◽

pp. 577-583 ◽

Cited By ~ 57

Author(s):

Wei-Zhen Lu ◽

Hong-Di He ◽

Li-yun Dong

Keyword(s):

Cluster Analysis ◽

Air Quality ◽

Performance Assessment ◽

Principal Component ◽

Component Analysis ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Monitoring Networks ◽

And Cluster Analysis

Midpoint-radii principal component analysis -based EWMA and application to air quality monitoring network

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2018.01.016 ◽

2018 ◽

Vol 175 ◽

pp. 55-64 ◽

Cited By ~ 12

Author(s):

M. Mansouri ◽

M.-F. Harkat ◽

M. Nounou ◽

H. Nounou

Keyword(s):

Air Quality ◽

Monitoring Network ◽

Principal Component ◽

Component Analysis ◽

Quality Monitoring ◽

Air Quality Monitoring

Reduced Kernel Principal Component Analysis for Fault Detection and Its Application to an Air Quality Monitoring Network

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2018.00535 ◽

2018 ◽

Author(s):

Radhia Fezai ◽

Majdi Mansouri ◽

Okba Taouali ◽

Mohamed Faouzi Harkat ◽

Hazem Nounou

Keyword(s):

Air Quality ◽

Fault Detection ◽

Monitoring Network ◽

Principal Component ◽

Component Analysis ◽

Quality Monitoring ◽

Kernel Principal Component Analysis ◽

Air Quality Monitoring

Power Transformer Anomaly Detection Based on Adaptive Kernel Fuzzy C-Means Clustering and Kernel Principal Component Analysis

2018 Australian & New Zealand Control Conference (ANZCC) ◽

10.1109/anzcc.2018.8606615 ◽

2018 ◽

Author(s):

Kan Tang ◽

Tingzhang Liu ◽

Xiaoye Xi ◽

Yue Lin ◽

Jianfei Zhao

Keyword(s):

Anomaly Detection ◽

Power Transformer ◽

Principal Component ◽

Component Analysis ◽

Kernel Principal Component Analysis ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

Adaptive Kernel

Lecture Notes in Electrical Engineering - Future Communication, Computing, Control and Management ◽

Application of Fuzzy C-Means Clustering Based on Principal Component Analysis in Computer Forensics

10.1007/978-3-642-27314-8_2 ◽

2012 ◽

pp. 7-14

Author(s):

Zhi Zhong ◽

Qingdong Song ◽

Bin Ni

Keyword(s):

Principal Component ◽

Component Analysis ◽

Computer Forensics ◽

Fuzzy C Means ◽

Optimization of Fuzzy C-Means Clustering Algorithm with Combination of Minkowski and Chebyshev Distance Using Principal Component Analysis

International Journal of Fuzzy Systems ◽

10.1007/s40815-020-00997-5 ◽

2020 ◽

Author(s):

Sugiyarto Surono ◽

Rizki Desia Arindra Putri

Keyword(s):

Clustering Algorithm ◽

Principal Component ◽

Component Analysis ◽

Fuzzy C Means ◽

Localized indoor air quality monitoring for indoor pollutants’ healthy risk assessment using sub-principal component analysis driven model and engineering big data

Korean Journal of Chemical Engineering ◽

10.1007/s11814-015-0042-x ◽

2015 ◽

Vol 32 (10) ◽

pp. 1960-1969 ◽

Cited By ~ 2

Author(s):

Honglan Shi ◽

MinJeong Kim ◽

SeungChul Lee ◽

SeHee Pyo ◽

Iman Janghorban Esfahani ◽

...

Keyword(s):

Risk Assessment ◽

Big Data ◽

Air Quality ◽

Indoor Air Quality ◽

Indoor Air ◽

Principal Component ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Indoor Pollutants

Intelligent Data Pretreatment Based on Principal Component Analysis and Fuzzy C-means Clustering in Flotation Process

2007 Chinese Control Conference ◽

10.1109/chicc.2006.4347471 ◽

2006 ◽

Author(s):

Wang Jiesheng

Keyword(s):

Principal Component ◽

Component Analysis ◽

Flotation Process ◽

Fuzzy C Means ◽

Data Pretreatment ◽