论文标题
主力矩分析
Principal Moment Analysis
论文作者
论文摘要
主力矩分析是一种用于缩小尺寸，分析和可视化高维多元数据的方法。它概括了主成分分析，并通过对一般近似度量的直接分析进行直接分析，可以在近似未知的潜在概率分布时进行显着的统计模型灵活性。通过https://principalmomentanalysis.github.io/我们提供了一个基于单纯的主矩分析版本的图形用户界面。
Principal Moment Analysis is a method designed for dimension reduction, analysis and visualization of high dimensional multivariate data. It generalizes Principal Component Analysis and allows for significant statistical modeling flexibility, when approximating an unknown underlying probability distribution, by enabling direct analysis of general approximate measures. Through https://principalmomentanalysis.github.io/ we provide an implementation, together with a graphical user interface, of a simplex based version of Principal Moment Analysis.
