tag:blogger.com,1999:blog-6314876008291942531.post8413414225996173001..comments2021-03-28T11:31:00.109-07:00Comments on Antonio Gulli's coding playground: PCA: Dimensional Reduction in EigenUnknownnoreply@blogger.comBlogger9125tag:blogger.com,1999:blog-6314876008291942531.post-89969819279094865422014-05-25T05:11:57.239-07:002014-05-25T05:11:57.239-07:00Nice work. but could you direct us to the other li...Nice work. but could you direct us to the other libraries used in the code?Anonymoushttps://www.blogger.com/profile/00717112573949701710noreply@blogger.comtag:blogger.com,1999:blog-6314876008291942531.post-18797176122084101392014-02-22T00:57:28.627-08:002014-02-22T00:57:28.627-08:00Hi, I think your implementation is wrong, instead ...Hi, I think your implementation is wrong, instead of calculating mean of point coordinate, mean of each dimension should be calculated. The mean vector should have a length same as the number of dimensionshusenlhttps://www.blogger.com/profile/12947192170683124327noreply@blogger.comtag:blogger.com,1999:blog-6314876008291942531.post-80435218129750037002013-10-08T02:27:25.607-07:002013-10-08T02:27:25.607-07:00Thanks for the code. I prefer a much simpler solut...Thanks for the code. I prefer a much simpler solution to implement this as posted here:<br />http://forum.kde.org/viewtopic.php?f=74&t=110265<br /><br />Works very well and is much shorter.Andreashttps://www.blogger.com/profile/06062554073860959342noreply@blogger.comtag:blogger.com,1999:blog-6314876008291942531.post-82547440753727223572013-03-26T07:55:29.512-07:002013-03-26T07:55:29.512-07:00Hi thanks a lot. It's very helpful! you know h...Hi thanks a lot. It's very helpful! you know how to convert these MatrixXd VectorXd to Python without using Boost or swig?<br /><br />Thanks!!Anonymoushttps://www.blogger.com/profile/15621899027181546809noreply@blogger.comtag:blogger.com,1999:blog-6314876008291942531.post-14039432937109155882012-07-20T08:53:40.890-07:002012-07-20T08:53:40.890-07:00Dear Antonio,
I really appreciate your code on PCA...Dear Antonio,<br />I really appreciate your code on PCA. It is really helpful. <br />There is one section of the code I don't understand. This is the "// sort and get the permutation indices" section. Is this where you try to get the largest eigen value? And how do I pair up each eigen value with its corresponding eigen vector?<br /><br />The out put for this section looks like this:<br />eigen=1.62753 pi=3<br />eigen=3.94939 pi=1<br />eigen=8.96768 pi=2<br />eigen=18.5922 pi=0<br /><br />Thanks a lot.ITandMeehttps://www.blogger.com/profile/15812021733391225119noreply@blogger.comtag:blogger.com,1999:blog-6314876008291942531.post-61362233720002152892011-05-14T08:48:46.777-07:002011-05-14T08:48:46.777-07:00yes..im also need PCA code..for this year i decide...yes..im also need PCA code..for this year i decide to use PCA as my technique to predict the aging face...but i am not understand if in c++..could this source code of PCA in java???anyone can help me...trulymehttps://www.blogger.com/profile/16628595360592746260noreply@blogger.comtag:blogger.com,1999:blog-6314876008291942531.post-32323258740176604992011-01-03T21:08:54.564-08:002011-01-03T21:08:54.564-08:00Hi, I was searching around on PCA snippet/library ...Hi, I was searching around on PCA snippet/library in C++ for weeks, and I found it here it seems like the codes I needed, do you have any documentation or any quick guides on how to use it? I'm new.. Thanks a lot and appreciate your helps.. >.<Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-6314876008291942531.post-7686550039550555342010-01-22T00:02:42.244-08:002010-01-22T00:02:42.244-08:00yes, and the archive should be complete now.yes, and the archive should be complete now.codingplaygroundhttps://www.blogger.com/profile/08478993186814330588noreply@blogger.comtag:blogger.com,1999:blog-6314876008291942531.post-15248625939626590102010-01-21T03:35:22.888-08:002010-01-21T03:35:22.888-08:00http://www.di.unipi.it/~gulli/coding/pca_eigen.zip...http://www.di.unipi.it/~gulli/coding/pca_eigen.zip is correct path to the archive, didn't it?zloghttps://www.blogger.com/profile/00825759795657413209noreply@blogger.com