I am trying to apply NMF on my dataset, using python scikit-learn. My dataset contains 0 values and missing values. But scikit-learn does not allow NaN value in data matrix. Some posts said that re...

I fit a model using scikit-learn NMF model on my training data. Now I perform an inverse transform of new data using result_1 = model.inverse_transform(model.transform(new_data)) Then I compute...

I would like to compare the output of an algorithm with different preprocessed data: NMF and PCA. In order to get somehow a comparable result, instead of choosing just the same number of components...

I have a very large and also sparse matrix (531K x 315K), the number of total cells is ~167 Billion. The non-zero values are only 1s. Total number of non-zero values are around 45K. Is there an eff...

I want to use scikit-learn NMF (from here) (or any other NMF if it does the job, actually). Specifically, I have an input matrix (which is an audio magnitude spectrogram), and I want to decompose ...

I have a sparse matrix whose shape is 570000*3000. I tried nima to do NMF (using the default nmf method, and set max_iter to 65). However, I found nimfa very slow. Have anyone used a faster l...