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【
matlab
】
Karhunen-Loève.Feature.Transform
DL : 0
Karhunen-Loève特征变换 模式识别课程实验-Karhunen-Loève transform pattern recognition features of the experimental curriculum
Update
: 2024-03-29
Size
: 3072
Publisher
:
王旺
【
Windows Develop
】
pcahao
DL : 0
/* Principal Components Analysis or the Karhunen-Loeve expansion is a classical method for dimensionality reduction or exploratory data analysis. One reference among many is: F. Murtagh and A. Heck, Multivariate Data Analysis, Kluwer Academic, Dordrecht, 1987 (hardbound, paperback and accompanying diskette). This program is public-domain. If of importance, please reference the author. Please also send comments of any kind to the author:
Update
: 2024-03-29
Size
: 5120
Publisher
:
lrx
【
Special Effects
】
pp
DL : 0
主元分析 (Principal Component Analysis, PCA) 又叫:Karhunen-Loeve变换 (KLT)、Hotelling变换。 假设已经从图象已经缩放为N*M大小。 m幅N*M大小的图象Xi作为n*1列向量看待-PCA (Principal Component Analysis, PCA) also known as: Karhunen-Loeve Transform (KLT), Hotelling transform. Assumptions from the image has been scaled to the size N* M. m pieces of N* M-size image Xi as n* 1 vector look out
Update
: 2024-03-29
Size
: 39936
Publisher
:
小小
【
matlab
】
KL
DL : 0
通过K-L特征提取实现由六维数据降为三维-Karhunen-Loeve feature extract
Update
: 2024-03-29
Size
: 1024
Publisher
:
xiaobailu
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