principal – SyntaxBug

Principal component analysis PCA is PC1 or PC1 + PC2

I saw that PCA=∑ (PC1 + PC2) is used in the literature, and there are also values describing the PCA score. How should the PCA score be calculated? . . . . . . A review of the steps for PCA: 1. Determine the number of principal components 2. Extract principal components 3. Principal component […]

Statistics | Python | Principal component analysis principal component score coefficient calculation

Foreword: Because spss cannot directly obtain the principal component score coefficient, refer to the articles written by other bloggers on csdn and sort out the code used to calculate the principal component score coefficient. Principle of principal component analysis Skip it first and add it later Principal component analysis code The libraries and file reading […]

Principal component analysis (PCA) and wine data set example code

1. Main steps of principal component analysis Principal component analysis (PCA) is an unsupervised linear transformation technique that is widely used in different fields, especially feature extraction and dimensionality reduction. His application areas include exploratory data analysis and denoising for stock market trading, and genomic data and gene expression level analysis in bioinformatics. PCA helps […]

Big Data Experiment 3 Data Preprocessing 1-Principal Component Analysis

Purpose of the experiment:Understanding big data ExperimentContent: Conduct principal component analysis on the provided data set – sources of per capita disposable income of rural residents in 2016 – and analyze the results. Code import pandas as pd import numpy as np import matplotlib.pyplot as plt def zhuchengfenfenxi(X_T): # Each dimension of the data that […]

[BP Regression Prediction] Based on principal component analysis combined with BP neural network PCA-BP heating furnace temperature prediction with Matlab code…

?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more complete Matlab code and simulation customization content, click Intelligent optimization algorithm […]

[BP Regression Prediction] Based on principal component analysis combined with BP neural network PCA-BP heating furnace temperature prediction with Matlab code

?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more Matlab complete code and simulation customization content, click Intelligent optimization algorithm […]

[SVM Classification] Based on the kernel principal component combined with the adaptive sparrow algorithm to optimize the support vector machine KPCA-ISSA-SVM to implement classification with matlab code

Classification based on kernel principal component combined with adaptive Sparrow algorithm to optimize support vector machine KPCA-ISSA-SVM

Principal Component Analysis (PCA) MATLAB project example “Fitting an Orthogonal Regression Using Principal Components Analysis”

Fitting an Orthogonal Regression Using Principal Components Analysis Orthogonal regression fitting via principal component analysis 1. Background analysis This example shows how to use Principal Components Analysis (PCA) to fit a linear regression. PCA minimizes the perpendicular distances from the data to the fitted model. This is the linear case of what is known as […]

An algorithm implementation of principal component analysis PCA-kNN and CNN

An algorithm implementation of principal component analysis method PCA-kNN and CNN Preface 1. Data preprocessing 2. Algorithm ideas 3. Code Reference Project 1 Project 2 Foreword Keywords: data processing; algorithm reproduction; PCA-KNN; CNN; deep learning Benefits: Certain basic knowledge of optics, basic algorithm reproduction process, pain points of data processing in deep learning, improvement of […]