Can we use PCA on sparse matrix?
Can we use PCA on sparse matrix? Note that Sparse PCA components orthogonality is not enforced as in PCA hence one cannot use a simple linear projection. Test data to be transformed, must have the same number of features as the data used to train the model. What is Incrementalpca? Incremental principal component analysis (IPCA) is typically used as a replacement for principal component analysis (PCA) when the dataset to be decomposed is too large to fit in memory. It is still dependent on the input data features, but changing the batch size allows for control of memory usage. What...