akaike information criterion meaning in Chinese

赤池信息量准则

The improved akaike information criterion ( aic ) is adopted to estimate the dimension of the signal subspace during the subspace tracking
在子空间追踪中,提出了用一种改进的aic准则进行维数估计。
Introducing aic ( akaike information criterion ) . akaike proposed aic in 1973 . it is widely used in many fields of statistics and has good results in practice
自akaike在1973年提出了aic准则后， aic准则已被人们应用于统计学的许多领域，在实际应用中得到了较好的结果。
It draws lessons from the advantages and disadvantages of akaike information criterion ( aic ) which is commonly used in deciding the order of auto - regression model and of clustering analysis . aiming at the question of how to determine the number of groups , this paper discusses several methods
本文主要借鉴了模型定阶中常用的aic方法以及用来进行分类的聚类分析方法中的优点和欠缺，着眼于数据分类时类的个数如何确定这一问题进行探讨。