搜索资源列表
-
0下载：
主成分分析的主要目的是希望用较少的变量去解释原来资料中的大部分变异，将我们手中许多相关性很高的变量转化成彼此相互独立或不相关的变量。通常是选出比原始变量个数少，能解释大部分资料中的变异的几个新变量，即所谓主成分，并用以解释资料的综合性指标。由此可见，主成分分析实际上是一种降维方法。-The main purpose of PCA is to use fewer variables to explain most of the variation of the original data will
-
-
0下载：
This tutorial is designed to give the reader an understanding of Principal Components
Analysis (PCA). PCA is a useful statistical technique that has found application in
fields such as face recognition and image compression, and is a common techn
-
-
0下载：
神经元信息处理 PCA 平行坐标 降维处理-Spike PCA a common technique for
finding patterns in data of high dimension
-
-
0下载：
比较深入的分析了PCA人脸识别方法的原理，并对PCA在应用过程中遇到的特征值选择和距离准则问题进行了研究，实现了基于PCA算法的人脸识别。
-First, the thesis investigates principle component analysis (PCA) approachdeeply, and then the choice of feature vector of sample s covariance matrix anddistance measure criteri
-
-
0下载：
This tutorial is designed to give the reader an understanding of Principal Components
Analysis (PCA). PCA is a useful statistical technique that has found application in
fields such as face recognition and image compression, and is a common techn
-
