Hello,
I have two doubts and would like you to help me please
I used PCA in my data and got the following results.
1) How can I interpret these results? 2) How do I interpret the graph of the first principal component vs second component,as shown in the figure below?? Thank you so much guys! 20170526 21:49 GMT03:00 Jovani T. de Souza <[hidden email]>:
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1) https://stats.stackexchange.com/questions/31908/whatispercentageofvarianceinpca
The output you included also shows the coefficients obtained from the eigenvectors, sorted according to absolute value. 2) Your plot shows that the two classes of points cannot be separated accurately based on the first two principal components. Cheers, Eibe > On 27 May 2017, at 13:03, Jovani T. de Souza <[hidden email]> wrote: > > Hello, > > I have two doubts and would like you to help me please > > I used PCA in my data and got the following results. > > > 1) How can I interpret these results? > > > > <image.png> > 2) How do I interpret the graph of the first principal component vs second component,as shown in the figure below?? > > <image.png> > > > Thank you so much guys! > > 20170526 21:49 GMT03:00 Jovani T. de Souza <[hidden email]>: > Hello, > > I have two doubts and would like you to help me please > > I used PCA in my data and got the following results. > > > 1) How can I interpret these results? > > > > <image.png> > 2) How do I interpret the graph of the first principal component vs second component,as shown in the figure below?? > > <image.png> > > > Thank you so much guys! > > _______________________________________________ > Wekalist mailing list > Send posts to: [hidden email] > List info and subscription status: https://list.waikato.ac.nz/mailman/listinfo/wekalist > List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html _______________________________________________ Wekalist mailing list Send posts to: [hidden email] List info and subscription status: https://list.waikato.ac.nz/mailman/listinfo/wekalist List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html 
Thank you so much Eibe.
In relation to the graph, then the data of the first and second components do not present the maximum possible variation? How could visualize better my results in this regard?
Thank you! 20170527 4:48 GMT03:00 Eibe Frank <[hidden email]>: 1) https://stats.stackexchange. _______________________________________________ Wekalist mailing list Send posts to: [hidden email] List info and subscription status: https://list.waikato.ac.nz/mailman/listinfo/wekalist List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html 
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The x axis in your plot should correspond to the direction with maximum variance in your original data (assuming it shows the first principal component). The y axis should correspond to the (orthogonal) direction with the secondgreatest variance.
Cheers, Eibe > On 28 May 2017, at 10:38, Jovani T. de Souza <[hidden email]> wrote: > > Thank you so much Eibe. > > In relation to the graph, then the data of the first and second components do not present the maximum possible variation? How could visualize better my results in this regard? > > Thank you! > > 20170527 4:48 GMT03:00 Eibe Frank <[hidden email]>: > 1) https://stats.stackexchange.com/questions/31908/whatispercentageofvarianceinpca > > The output you included also shows the coefficients obtained from the eigenvectors, sorted according to absolute value. > > 2) Your plot shows that the two classes of points cannot be separated accurately based on the first two principal components. > > Cheers, > Eibe > > > On 27 May 2017, at 13:03, Jovani T. de Souza <[hidden email]> wrote: > > > > Hello, > > > > I have two doubts and would like you to help me please > > > > I used PCA in my data and got the following results. > > > > > > 1) How can I interpret these results? > > > > > > > > <image.png> > > 2) How do I interpret the graph of the first principal component vs second component,as shown in the figure below?? > > > > <image.png> > > > > > > Thank you so much guys! > > > > 20170526 21:49 GMT03:00 Jovani T. de Souza <[hidden email]>: > > Hello, > > > > I have two doubts and would like you to help me please > > > > I used PCA in my data and got the following results. > > > > > > 1) How can I interpret these results? > > > > > > > > <image.png> > > 2) How do I interpret the graph of the first principal component vs second component,as shown in the figure below?? > > > > <image.png> > > > > > > Thank you so much guys! > > > > _______________________________________________ > > Wekalist mailing list > > Send posts to: [hidden email] > > List info and subscription status: https://list.waikato.ac.nz/mailman/listinfo/wekalist > > List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html > > _______________________________________________ > Wekalist mailing list > Send posts to: [hidden email] > List info and subscription status: https://list.waikato.ac.nz/mailman/listinfo/wekalist > List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html > > _______________________________________________ > Wekalist mailing list > Send posts to: [hidden email] > List info and subscription status: https://list.waikato.ac.nz/mailman/listinfo/wekalist > List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html _______________________________________________ Wekalist mailing list Send posts to: [hidden email] List info and subscription status: https://list.waikato.ac.nz/mailman/listinfo/wekalist List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html 
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