Results 71 to 80 of about 851,900 (211)
Consumers’ Behavior toward Plant-Based Milk Alternatives
ProceedingsIn recent years, more people have expressed interest in Plant-Based Milk Alternatives (PBMAs). Our research focused on Greek consumers to examine consumer behavior regarding PBMAs.
Dimitris Alexandridis +2 more
doaj +1 more source
PCA and K-Means decipher genome
, 2008 In this paper, we aim to give a tutorial for undergraduate students studying statistical methods and/or bioinformatics. The students will learn how data visualization can help in genomic sequence analysis.
A Zinovyev +8 more
core +2 more sources
CLASSIFICATION OF FEATURE SELECTION BASED ON ARTIFICIAL NEURAL NETWORK [PDF]
, 2009 Pattern recognition (PR) is the central in a variety of engineering applications. For this reason, it is indeed vital to develop efficient pattern recognition systems that facilitate decision making automatically and reliably.
Hussain, Aini
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Journal of Agricultural SciencesThis study aims to evaluate the relationships between pre-treatment solution, variety, drying characteristics, and raisin quality in raisin production, using multivariate analysis methods.
Cuneyt Uyak, Şahin Yılmaz
doaj +1 more source
Principal component analysis and singular spectrum analysis of ULF geomagnetic data associated with earthquakes [PDF]
Natural Hazards and Earth System Sciences, 2005 In order to extract any ULF signature associated with earthquakes, the principal component analysis (PCA) and singular spectral analysis (SSA) have been performed to investigate the possibility of discrimination of signals from different sources ...
A. Serita +5 more
doaj
N-Dimensional Principal Component Analysis [PDF]
, 2010 In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniques, and then amend our previous N-dimensional PCA (ND-PCA) scheme by introducing multidirectional decomposition into ND-PCA implementation.
Yu, Hongchuan
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River Water Quality Zoning Using Combination of Principal Component Analysis (PCA) and Fuzzy Clustering Analysis [PDF]
آب و فاضلاب, 2015 Management decisions whose environmental impacts affect directly or indirectly surface waters must of necessity be based on adequate knowledge and information when water quality zoning and a clear picture of river water quality are sought.
Hamidreza Safavi +2 more
doaj
Implementasi Pengenalan Wajah Menggunakan PCA (Principal Component Analysis)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems), 2013 AbstrakSistem identifikasi berkembang dengan cepat. Perkembangan tersebut mendorong kemajuan sistem keamanan berbasis biometrik. Pengenalan wajah adalah salah satu sistem identifikasi yang dikembangkan berdasarkan perbedaan ciri wajah seseorang berbasis biometrik yang memiliki keakuratan tinggi.Eigenface merupakan salah satu metode pengenalan wajah ...
Pratiwi, Dian Esti, Harjoko, Agus
openaire +2 more sources
Application of Principal Component Analysis (PCA) to Medical Data
Indian Journal of Science and Technology, 2017 Objectives: To apply Principal Component Analysis to medical data to explore the factors thought to be very important in increasing the risk of Ischemic Heart Diseases. Methods/Statistical Analysis: PCA was performed in R-mode using correlation and covariance for medical data.
Barkatullah Qureshi +5 more
openaire +1 more source
Potential PCA interpretation problems for volatility smile dynamics [PDF]
Principal Component Analysis (PCA) is a common procedure for the analysis of financial market data, such as implied volatility smiles or interest rate curves.
Reiswich, Dimitri, Tompkins, Robert
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