Supervised feature selection using principal component analysis

QR Code

Supervised feature selection using principal component analysis

The principal component analysis (PCA) is widely used in computational science branches such as computer science, pattern recognition, and machine learning, as it can effectively reduce the dimensionality of high-dimensional data. In particular, it is a popular transformation method used for feature...

Full description

Bibliographic Details
Main Authors:	Rahmat, Fariq, Zulkafli, Zed, Ishak, Asnor Juraiza, Abdul Rahman, Ribhan Zafira, Stercke, Simon De, Buytaert, Wouter, Tahir, Wardah, Ab Rahman, Jamalludin, Ibrahim, Salwa, Ismail, Muhamad
Format:	Article
Published:	Springer Science and Business Media Deutschland GmbH 2023
Online Access:	http://psasir.upm.edu.my/id/eprint/110338/

Similar Items

Leptospirosis modelling using hydrometeorological indices and random forest machine learning
by: Jayaramu, Veianthan, et al.
Published: (2023)

Interpretable spatio-temporal prediction using Deep Neural Network - Local Interpretable Model-agnostic Explanations: A case study on leptospirosis outbreaks in Malaysia
by: Rahmat, Fariq, et al.
Published: (2025)

Prediction model of leptospirosis occurrence for Seremban (Malaysia) using meteorological data
by: Rahmat, Fariq, et al.
Published: (2019)

Online feature extraction based on accelerated kernel principal component analysis for data stream
by: Annie, Joseph, et al.
Published: (2016)

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

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

Automated web pages classification with integration of principal component analysis (PCA) and independent component analysis (ICA) as feature reduction
by: Sam, Lee Zhi, et al.
Published: (2006)

Quality identification of used cooking oil based on feature fusion of gas sensor and color
by: Ishak, Asnor Juraiza, et al.
Published: (2016)

A feature extraction technique based on principal component analysis for pulsed Eddy current {NDT}
by: Sophian, Ali, et al.
Published: (2003)

Supervised vessel segmentation with minimal features
by: Che Azemin, Mohd Zulfaezal, et al.
Published: (2014)

Environmental Virtual Observatories (EVOs): prospects for knowledge co-creation and resilience in the Information Age
by: Karpouzoglou, Timothy, et al.
Published: (2016)

Feature selection methods based on meteorological data for prediction of leptospirosis occurrence in Seremban, Malaysia
by: Rahmat, Mohamad Fariq
Published: (2019)

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)

Supervised feature selection based on the law of total variance
by: Nur Atiqah, Mustapa, et al.
Published: (2023)

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

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)

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

Integration Of Fingerprint Centre Point Location And Principal Component Analysis For Fingerprint Verification
by: Chan, Ying Hui, et al.
Published: (2005)

Optimizing effect of frying cycles on cooking oil properties using particle swarm optimization
by: Jalo, Abdulmumini Salihu, et al.
Published: (2015)

Seasonal influences on the levels of particulate metals In Kuantan River, East Coast Malaysia using principal component analysis
by: Faudzi, Fikriah, et al.
Published: (2018)

The relationship between teachers' perception on instructional supervision and principal trust / Nur Amira Aisyah Sabarudin
by: Sabarudin, Nur Amira Aisyah
Published: (2014)

High-resolution satellite-gauge merged precipitation climatologies of the Tropical Andes
by: Manz, Bastian, et al.
Published: (2016)

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

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

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)

Integration of Grey-Based Taguchi Method and Principal Component Analysis for Multi-Response Decision-Making in Kansei Engineering
by: Sugoro Bhakti , Sutono, et al.
Published: (2017)

Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
by: Ganesh , Krishnasamy
Published: (2019)

CRF based feature extraction applied for supervised automatic text summarization
by: K. Batcha, Nowshath, et al.
Published: (2013)

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

Forgery Detection in Dynamic Signature Verification by Entailing Principal Component Analysis
by: Sayeed, Shohel, et al.
Published: (2007)

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

The performance of k-means clustering method based on robust principal components
by: Kadom, Ahmed, et al.
Published: (2018)

Improvement Of Face Recognition Using Principal Component Analysis And Moment Invariant
by: Thomas, Annie
Published: (2007)

The Langat River water quality index based on principal component analysis
by: Mohd Ali, Zalina, et al.
Published: (2012)

Implementation Of Principal Component Analysis Technique In Peak To Average Power Ratio
by: Haji Ahmad Tajudin, Putri Nurzubaidah
Published: (2018)

Early prediction system using neural network in Kelantan River, Malaysia
by: Anuar, Mohd Azrol Syafiee, et al.
Published: (2017)