Identifying Influential Variables in Complex System: Network Topology Versus Principal Component Analysis

QR Code

Identifying Influential Variables in Complex System: Network Topology Versus Principal Component Analysis

High dimensional covariance structure can be considered as a complex system that relates each variable to the others in terms of variability. In complex system, identifying influential variables is a very important part of reliability analysis, which has been a key issue in analysing the structural...

Full description

Bibliographic Details
Main Authors:	Nur Syahidah, Yusoff, Shamshuritawati, Sharif
Format:	Conference or Workshop Item
Language:	English
Published:	AIP Publishing 2016
Subjects:	Q Science (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/9062/ http://umpir.ump.edu.my/id/eprint/9062/1/Identifying%20Influential%20Variables%20in%20Complex%20System-%20Network%20Topology%20Versus%20Principal%20Component%20Analysis.pdf

Similar Items

Identifying the Influential Variable using Centrality Measure: A Case of Multivariate Time Series
by: Nur Syahidah, Yusoff, et al.
Published: (2016)

Understanding the Shift of Correlation Matrices During Financial Crisis: A Network Topology
by: Nur Syahidah, Yusoff, et al.
Published: (2015)

Network Topology of Foreign Exchange Rate
by: Shamshuritawati, Sharif, et al.
Published: (2012)

Integrating local and global information to identify influential nodes in complex networks
by: Mukhtar, Mohd Fariduddin, et al.
Published: (2023)

A network topology approach to diagnose the shift of covariance structure
by: Nur Syahidah, Yusoff, et al.
Published: (2018)

A network topology approach in survival analysis
by: Nur Syahidah, Yusoff, et al.
Published: (2018)

Identifying the Ideal Number Q-Components of the Bayesian Principal Component Analysis Model for Missing Daily Precipitation Data Treatment
by: Chuan, Zun Liang, et al.
Published: (2018)

Power Of Test: Box M’s Test Versus Jennrich’s Test
by: Nur Syahidah, Yusoff, et al.
Published: (2016)

The identification of influential spreaders and communities in complex networks
by: Sun, Hong-Liang
Published: (2018)

Detecting a currency's dominance using multivariate time series analysis
by: Nur Syahidah, Yusoff, et al.
Published: (2017)

Detecting beef and pork adulteration using principal component analysis
by: Siti, Nur Avivah, et al.
Published: (2022)

Variable selection in principal component analysis : using measures of multivariate association.
by: Sithole, Moses M.
Published: (1992)

Network topology of foreign exchange rate
by: Sharif, Shamshuritawati, et al.
Published: (2012)

Classification of retinal images based on statistical moments and principal component analysis
by: Salami, Momoh Jimoh Emiyoka, et al.
Published: (2014)

Detection of influential observations in principle component regression
by: Mokhtar Abdullah,
Published: (1996)

Network Analysis of Power Transmission System Topology
by: Muhammad, jawad, et al.
Published: (2013)

Euler principal component analysis
by: Liwicki, Stephan, et al.
Published: (2013)

Principal component analysis for human gait recognition system
by: Khalifa, Othman Omran, et al.
Published: (2019)

Topological structure of complex networks and its importance in diffusion
by: Mahesar, Abdul Waheed, et al.
Published: (2015)

Detection of added plastics in the frying oils using differential scanning calorimetry (DSC) combined with principal component analysis (PCA)
by: M.S, Mualim, et al.
Published: (2018)

Analysis of an out-of-control signals in process variability monitoring using network topology approach
by: Sharif, Shamshuritawati, et al.
Published: (2011)

Principal component analysis application on flavonoids characterization
by: Che Noh, Che Hafizah, et al.
Published: (2017)

Algorithm of face recognition by principal component analysis
by: Al-Khateeb, Khalid A. Saeed, et al.
Published: (2002)

Principal components analysis for Hindi digits recognition
by: El-Bashir, Mohammad Said Mansur, et al.
Published: (2008)

Identification of non-halal recycled cooking oils using differential scanning calorimetry (DSC) combined with principal component analysis (PCA)
by: M.S, Mualim, et al.
Published: (2018)

Computational Efficiency of Generalized Variance and Vector Variance
by: Shamshuritawati, Sharif, et al.
Published: (2014)

Face Image Enhancement via Principal Component Analysis
by: Yang, D., et al.
Published: (2009)

Principal Component Analysis on Meteorological Data in UTM KL
by: Tan, Lit Ken, et al.
Published: (2017)

Supervised feature selection using principal component analysis
by: Rahmat, Fariq, et al.
Published: (2023)

Integration of artificial neural network and principal component analysis techniques for wastewater treatment plant evaluation
by: Jami, Mohammed Saedi, et al.
Published: (2011)

Simulation of pornography web sites (PWS) classification using principal component analysis with neural network
by: Zhi, Sam Lee, et al.
Published: (2008)

An application of network topology to understand the signal in process variability: A case study in petrochemical industry
by: Sharif, Shamshuritawati, et al.
Published: (2011)

The size and topology of quasi-Fatou components of quasiregular maps
by: Nicks, Daniel A., et al.
Published: (2017)

Organizational Commitment in Malaysian Public University: An Evidence via Social Network Analysis
by: Nur Syahidah, Yusoff, et al.
Published: (2012)

Principal component analysis of image gradient orientations for face recognition
by: Tzimiropoulos, Georgios, et al.
Published: (2011)

Model recognition by using Principal Component Analysis (PCA) approach
by: Ud-Doulah, Md. Siraj, et al.
Published: (2014)

Robust principal component analysis in water quality index development
by: Mohd Ali, Zalina, et al.
Published: (2013)

Augmented approach to desirability function based on principal component analysis
by: Thorisingam, Yuvarani, et al.
Published: (2022)

Improved clustering using robust and classical principal component
by: Hassn, Ahmed Kadom
Published: (2017)

Network topology of people NEWS
by: Mohd Asrah, Norhaidah, et al.
Published: (2017)