I want to use PCA (sklearn.decomposition) for feature reduction dimension.
INPUT:   X [200,4096]
and I want to reduce to 400 dimensions
pca = PCA(n_components=400)
pca.fit(X)
newX = pca.transform(X)
but
newX  [200,200]
How can I solve this problem?