# how to calculate correlation coefficient between two data sets

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### Statistical correlationcoefficient (3) -- Kendall rank (Kendel level) CorrelationCoefficient and Matlab implementation

Kendall rank (Kendel level) correlation coefficient 1. Introduction In statistics, the Kendel correlation coefficient is named after Maurice Kendall, and is often expressed by the Greek letter Tau (Tau. The kender correlation coefficient is a

### Spearman rank (Spearman grade) correlationcoefficient and matlab realization

Transferred from: http://blog.csdn.net/wsywl/article/details/5859751Spearman Rank (spearman rank) correlation coefficient1. IntroductionIn statistics, the Spearman grade correlation coefficient is named after Charles Spearman and is often

### ML 07. Distance measurement in machine learning

Machine learning algorithm principle, implementation and practice-Distance measurement  Statement: most of the content in this article is reproduced in July's article on CSDN: from the K nearest neighbor algorithm and distance measurement to the KD

### MATLAB Correlation Analysis

Pearson correlation coefficientExamine the degree of correlation between two things (what we call variables in the data), simply by measuring whether two data sets are on a line. The formula is: or ORn indicates the number of variables to be

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### K Nearest Neighbor algorithm

1.1, what is the K nearest neighbor algorithmWhat is the K nearest neighbor algorithm, namely K-nearest Neighbor algorithm, short of the KNN algorithm, single from the name to guess, can be simple and rough think is: K nearest neighbour, when K=1,

### Variance, covariance and Correlation

Recently I have been studying the r language, which involves some functions involved in association analysis. Three of them are associated with each other: VaR: Calculate the variance of a Variable Cov: Calculates the covariance of two

### Distance calculation method summary

Similarity measurement between different samples is often needed for classification. The common method is to calculate the distance between samples ). The method used to calculate distance is very particular, and even related to the correctness of

### Similarity measurement in Machine Learning

Similarity measurement between different samples is often needed for classification. The common method is to calculate the distance between samples ). The method used to calculate distance is very particular, and even related to the correctness of

### The correlation analysis of R language

A relationship between two variables or two sets of variables, called correlations for a continuous variable, is called associativity for categorical variables.one, the correlation between continuous variablesCommon commands and options are as

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