Welcome to this blog Advantages of bloggers:Blog content should be as thoughtful and logical as possible for the convenience of readers. Motto:He who travels a hundred miles is half as good as ninety. The directory of this article is as follows: Table of Contents 1 Overview 2 Operation results 3 References 4 Matlab code implementation […]
Tag: correlation
A large collection of MATLAB codes for mathematical modeling and prediction models and Pearson correlation analysis (no debugging required, open source)
Known 2010-2020 data, predicted 2021-2060 data 1. Logistic prediction of population %%logistic predicts results from 2021 to 2060 clear;clc; X = [7869.34, 8022.99, 8119.81, 8192.44, 8281.09, 8315.11, 8381.47, 8423.50, 8446.19, 8469.09, 8477.26]; n=length(X)-1; for t=1:n Z(t)=(X(t + 1)-X(t))/X(t + 1); end X1=[ones(n,1) X(1:n)’]; Y=Z’; [B,Bint,r,rint,stats]=regress(Y,X1);% least squares (OLS) gamma=B(1,1); beta=B(2,1); b=log(1-gamma); c=beta/(exp(b)-1); a=exp((sum(log(1./X(1:n)-c))-n*(n + 1)*b/2)/n); […]
6 ways to create a correlation coefficient matrix in Python
Source: Deephub IMBA This article is about 1500 words, it is recommended to read for 5 minutes This article provides a summary of multiple methods for calculating correlation coefficient matrices. Correlation matrix is a basic tool for data analysis. They allow us to understand how different variables relate to each other. In Python, there are […]
[Fourier Mellin image registration] Implementation of Fourier Mellin phase correlation for image registration (Matlab code implementation)
Welcome to this blog Advantages of bloggers:Blog content should be as thoughtful and logical as possible for the convenience of readers. Motto:He who travels a hundred miles is half as good as ninety. The directory of this article is as follows: Table of Contents 1 Overview 2 Operation results 3 References 4 Matlab code implementation […]
Mathematical modeling Matlab testing and correlation analysis
As long as you do question C, you will basically use correlation analysis, general testing, etc.! Regression model performance test Let’s talk about the performance evaluation indicators of regression model, which are used to measure the accuracy of model prediction. Here’s a brief explanation of each indicator and context for their use: 1. MAPE (Mean […]
Performance evaluation of refrigeration system based on Pearson correlation similarity analysis (PCSA) and surface temperature-based COP (COPST) refrigerant charging with Matlab code implementation
?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 […]
[Infrared Image] Performance evaluation of refrigeration system based on Pearson correlation similarity analysis (PCSA) and surface temperature-based COP (COPST) refrigerant charging 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 […]
6 ways to create a correlation coefficient matrix in Python
Correlation matrix is a basic tool for data analysis. They allow us to understand how different variables relate to each other. In Python, there are many methods to calculate the correlation coefficient matrix. Today we will summarize these methods. Pandas Pandas’ DataFrame object can directly create a correlation matrix using the corr method. Since most […]
Data analysis with Python – correlation analysis
In recent years, various machine learning algorithms have been increasingly used in data mining and correlation analysis, aiming to accurately predict output data (labels) through input data (features), thereby assisting us in making judgments and decision making. This article first learns the two most basic machine learning algorithms: linear regression and logistic regression. In Python, […]
Python data analysis practice five: correlation analysis
In the previous section (https://juejin.cn/post/7271942371636789300), we combined specific data sets and introduced how to analyze a single data set, including conditional filtering methods and how to use custom functions to operate data Concentrated elements. In this chapter, we will introduce data processing and analysis methods for multiple data sets, focusing on how to do correlation […]