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Dimensional reduction by PCA
2 questions: 1.So we take the scores or the reconstructed data? 2.P.Component = feature ? So we choose the best PComponents?
Dimensional reduction by PCA
2 questions: 1.So we take the scores or the reconstructed data? 2.P.Component = feature ? So we choose the best PComponents?
oltre 8 anni fa | 0
Risposto
How to project a new point to PCA new basis?
To project the old data to PC3 we should project them to PC1 then to PC2 then to PC3 ? Or we can do it using the data(:,1:3)*co...
How to project a new point to PCA new basis?
To project the old data to PC3 we should project them to PC1 then to PC2 then to PC3 ? Or we can do it using the data(:,1:3)*co...
oltre 8 anni fa | 0
Domanda
what are scores in PCA
1.Should i take the scores as the new projected values of the previous values? 2.And if i choose some columns of PCA to delete ...
oltre 8 anni fa | 1 risposta | 0
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Fuzzy logic toolbox - ANFIS - Calculate RMSE, MAE, R-squared
i have the same question,you are not alone ,so if anyone knows provide some info.Thanks
Fuzzy logic toolbox - ANFIS - Calculate RMSE, MAE, R-squared
i have the same question,you are not alone ,so if anyone knows provide some info.Thanks
quasi 9 anni fa | 1
