全相关矩阵英文解释翻译、全相关矩阵的近义词、反义词、例句
英语翻译：
【计】 complete dependence matrix
分词翻译：
全的英语翻译：
complete; entirely; full; whole【医】 pan-; pant-; panto-
相关矩阵的英语翻译：
【计】 correlation matrix【化】 correlation matrix
网络扩展解释
全相关矩阵
quán xiāng guān jǔ zhèng
全相关矩阵是一种数学工具，用于衡量变量之间的相关性。它通常用于数据分析和统计学中。
英语解释翻译
The covariance matrix or correlation matrix is a matrix whose element in the i, j position is the covariance between the i-th and j-th elements of a random vector.
英文读音
/ˌkɒvəˈreɪns/ /mætˈrɪks/
英文的用法
The covariance matrix is an important tool in multivariate analysis. It is used to describe the relationships between two or more variables.
英文例句
- The covariance matrix is often computed as part of principal component analysis.
- Researchers use the covariance matrix to detect patterns among variables.
英文近义词
- Correlation matrix: measures the linear relationship between two or more variables.
- Variance-covariance matrix: a matrix of the variances and covariances of a set of random variables,
英文反义词
Independent variables: variables that are not related to each other and do not affect one another's outcome.
英文单词常用度
The term covariance matrix is regularly used in the field of statistics and data analysis, therefore its common usage is relatively high.