Effect of number of PC's on PCA
118103
Does PCA's reconstruction error get reduced with more PCs being used?
49992
SVM: Why does the number of support vectors decrease when C is increased?
9286
Questions on PCA: when are PCs independent? why is PCA sensitive to scaling? why are PCs constrained to be orthogonal?
3089
Why PCA of data by means of SVD of the data?
156944
Is there a test/technique/method for comparing principal components decompositions between samples?
158823
Principal component analysis "backwards": how much variance of the data is explained by a given linear combination of the variables?
152395
Random matrix theory impact on covariance matrix analysis
116143
Ambiguity in number of basis vectors
7632
Interpretation of biplots in principal components analysis
116179
Is principal component regression (PCR) using principal component scores for regression?
125697
How to determine significant principal components using bootstrapping or Monte Carlo approach?
112134
What are principal component scores?
11188
Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?
118997
What are the four axes on PCA biplot?
81513
When data has a gaussian distribution, how many samples will characterise it?
73996
Does assumption of normality of each mixture components implies that each margins is normal
101622
Choosing number of principal components to retain