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Description: Karhunen-Loève特征变换 模式识别课程实验-Karhunen-Loève transform pattern recognition features of the experimental curriculum
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Size: 3072 |
Author: 王旺 |
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Description: /* 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:
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Size: 5120 |
Author: lrx |
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Description: 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
Platform: |
Size: 39936 |
Author: 小小 |
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Description: 通过K-L特征提取实现由六维数据降为三维-Karhunen-Loeve feature extract
Platform: |
Size: 1024 |
Author: xiaobailu |
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