I need help to plot the output of sklearn decomposition.NMF.
The original data is an image stack (3D numpy array) with dimensions z,y,x = 46,974,1414.
data is reshaped for input to the sklearn NMF decomposition. data_r=data.reshape(-1,z), so data_r.shape = (1377236, 46)
estimator = decomposition.NMF(n_components = n_components, init = 'random')
W = estimator.fit_transform(data_r)
H = estimator.components_
To plot the image of component 0 I try plt.imshow(W.reshape(y,x,n_components)[:,:,0]).
This seems to tile the images in the output image, atleast I have not been able to reshape and plot the dimensions I want... Could anyone help out with this? Datasets to practice on can be found here https://doi.org/10.15131/shef.data.17081228.v1
