As a new type of algorithm, locality preserving canonical correlation analysis (LPCCA) can solve a large number of non-linear problems.
局部保持的典型相关分析(LPCCA)是一种能够解决大量非线性问题的新型算法。
In order to overcome the problem of linear correlation and information loss, and could provide a new ways of non-linear correlation analysis in different traits for operator.
为了克服以往的相关性指标所存在的线性相关性和信息损失的问题，以期为实际应用工作提供一种新的多变量间的非线性相关分析方法。
In order to overcome the problem of linear correlation and information loss, and could provide a new ways of non-linear correlation analysis in different traits for operator.
为了克服以往的相关性指标所存在的线性相关性和信息损失的问题，以期为实际应用工作提供一种新的多变量间的非线性相关分析方法。
应用推荐