Deep Learning with Yacine on MSN

Visualizing high-dimensional data using PCA in Scikit-Learn

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...
Scientific Research Publishing

Employing Principal Component Analysis and K-Means Clustering to Elucidate the Geological Compositional Process at N’Guérédonké Ultramafic Fe-Ti Deposit ()

The N’Guérédonké deposit, Faranah Province (Republic of Guinea), is part of the Leonian-Liberian crystalline shield, consisting of Archean granitoids and greenstone formations with a syn-tectonic ...
GitHub

principal-component-analysis

Computation of training set (X^T * W * X) and (X^T * W * Y) or (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm and Jensen (2025). FELBuilder is an automated ...
marktechpost

Kernel Principal Component Analysis (PCA): Explained with an Example

Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets ...
Scientific Research Publishing

Bankruptcy Prediction in the Polish Banking Industry Using Principal Component Analysis and BP Neural Network ()

Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, College of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, China. With the ...
C&EN

Open-Source Visual Programming Software for Introducing Principal Component Analysis to the Analytical Curriculum

Orange Data Mining is a Python based visual programming software that has been used widely in many scientific publications. Principal component analysis (PCA) is one of the most common exploratory ...
IEEE

Application of Logistic Regression and Principal Component Analysis in TCM diagnosis and treatment

Abstract: Stata and python were used to analyze and clean the data of TCM diagnosis thyroid medical records. Principal component analysis and factor analysis were used to analyze and clean the ...
Frontiers

Estimating retinal blood oxygenation from diffuse reflectance spectra of semi-infinite tissue using principal component analysis

Blood oxygen saturation (SO 2 when evaluated in blood vessels, StO 2 when evaluated in tissues) is a vital physiological measure that quantifies the proportion of oxygen-bound hemoglobin in the ...
eLife

RETRACTED: Biases of Principal Component Analysis (PCA) in Physical Anthropology Studies Require a Reevaluation of Evolutionary Insights

The authors present a critique of current usage of principal component analysis in geometric morphometrics, making a compelling case with benchmark data that standard techniques perform poorly. The ...