a****g
发帖数: 6 | 1 PCA: principle component analysis;
CA: correspondence analysis.
I have attempted to search on google , but the codes found not work.
Do somebody have the reliable C/C++ codes for them, or is there any good
website on which I can find them?
Thanks a lot! |
e**c
发帖数: 195 | 2 Try code from 'Numerical receipe in C' (you can get an E-version from web),
I used it before and it worked fine.
【在 a****g 的大作中提到】
: PCA: principle component analysis;
: CA: correspondence analysis.
: I have attempted to search on google , but the codes found not work.
: Do somebody have the reliable C/C++ codes for them, or is there any good
: website on which I can find them?
: Thanks a lot!
|
a****g
发帖数: 6 | 3 My labmate has this book. But I can't find PCA. Could you tell me in which
chapter it is?
(also I find the book's website
"http://lib-www.lanl.gov/numerical/bookcpdf.html")
Thanks a lot!
【在 e**c 的大作中提到】
: Try code from 'Numerical receipe in C' (you can get an E-version from web),
: I used it before and it worked fine.
|
e**c
发帖数: 195 | 4 Cannot remember exactly, you might need to look at
relevant code for solving matrix's eigenvalues.
【在 a****g 的大作中提到】
: My labmate has this book. But I can't find PCA. Could you tell me in which
: chapter it is?
: (also I find the book's website
: "http://lib-www.lanl.gov/numerical/bookcpdf.html")
: Thanks a lot!
|
a****g
发帖数: 6 | 5 Thank you very much, Tarzan. I guess there is no diect code or function for
PCA in that book, but it is very easy to implement using those eigvalue codes.
I have transformed my data in Matlab, --- that is also very easy.
Thanks again!
web),
【在 e**c 的大作中提到】
: Cannot remember exactly, you might need to look at
: relevant code for solving matrix's eigenvalues.
|
