Results 1 to 10 of about 3,426 (154)
Multiple Factor Analysis Based on NIPALS Algorithm to Solve Missing Data Problems
Algorithms, 2023 Missing or unavailable data (NA) in multivariate data analysis is often treated with imputation methods and, in some cases, records containing NA are eliminated, leading to the loss of information.
Andrés Felipe Ochoa-Muñoz +1 more
exaly +4 more sources
Mathematics, 2023 Unsupervised feature selection (UFS) has received great interest in various areas of research that require dimensionality reduction, including machine learning, data mining, and statistical analysis. However, UFS algorithms are known to perform poorly on
Emilio Castillo-Ibarra +2 more
exaly +4 more sources
Imputation of missing daily rainfall data; A comparison between artificial intelligence and statistical techniques [PDF]
MethodsX, 2023 Handling missing values is a critical component of the data processing in hydrological modeling. The key objective of this research is to assess statistical techniques (STs) and artificial intelligence-based techniques (AITs) for imputing missing daily ...
Angkool Wangwongchai +5 more
doaj +2 more sources
Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size. [PDF]
PLoS ONEMeteorological data acquired with precision, quality, and reliability are crucial in various agronomy fields, especially in studies related to reference evapotranspiration (ETo).
Valter Cesar de Souza +2 more
doaj +2 more sources
GNM-NIPALS: Estimación general no métrica y no lineal por mínimos cuadrados parciales iterativos
Revista de Matemática: Teoría y Aplicaciones, 2014 En este trabajo se desarrolla GNM-NIPALS para formar parte de los métodos NM-PLS, el cual permite cuantificar las variables cualitativas de una matriz de datos mixtos mediante una función lineal de k componentes principales, tipo reconstitución ...
Tomás Aluja, Víctor Manuel González
doaj +4 more sources
Dyna, 2019 Multiple correspondence analysis (MCA) in the presence of missing data is usually performed by removing the records that have missing or not available (NA) data; sometimes, an entire row or column of a data matrix is removed, which is not ideal because ...
Andrés Felipe Ochoa Muñoz +2 more
doaj +4 more sources
Quality Prediction Improvement through Adaptive Nonlinear Principal Component Regression
Chemical Engineering Transactions, 2021 The purpose of this paper is to present the predictor improvement for the refined palm oil quality based on the adaptive multivariate statistical process control.
Nor Adhihah Rashid +5 more
doaj +1 more source
SINTECH (Science and Information Technology) Journal, 2021 Cayenne pepper fruit can be used for health because it is a source of antioxidants. Detection of quality fruit can use non-destructive methods as an alternative method.
Ine Elisa Putri +2 more
doaj +1 more source
Mathematics, 2021 For large-scale problems, how to establish an algorithm with high accuracy and stability is particularly important. In this paper, the Householder bidiagonalization total least squares (HBITLS) algorithm and nonlinear iterative partial least squares for ...
Zhanshan Yang, Xilan Liu
doaj +1 more source
Fishes, 2023 This study investigates the interplay between investment, training, and environmental factors in the aquaculture industry in the Guangdong region of China.
Peiwen Wang +2 more
doaj +1 more source