主成分分析

From Ufldl

Jump to: navigation, search
Line 1: Line 1:
主成分分析
主成分分析
-
【原文】 == Introduction ==
+
== Introduction ==
 +
【原文】
Principal Components Analysis (PCA) is a dimensionality reduction algorithm
Principal Components Analysis (PCA) is a dimensionality reduction algorithm
that can be used to significantly speed up your unsupervised feature learning
that can be used to significantly speed up your unsupervised feature learning

Revision as of 04:05, 11 March 2013

Personal tools