I am trying to determine the correlation between meta genes from running NMF with clinical metadata. As such, I have two data frames to work with. The ...

Is there any way I can map generated topic from LDA, NMF and BERTopic to the list of documents and identify to which topic it belongs to? Click here t ...

I am doing Non-Negative Matrix Factorization (NMF) of a matrix A in R. It has Genes on rows and Samples on the columns. For NMF, I am using the CRAN p ...

I used Non-Negative Matrix Factorization (NMF) to conduct topic modelling for a long time. When I updated my environment to the latest sickit-learn u ...

I have used NMF and LDA for topic modelling in Python, with what I would call good results with NMF, and poor results with LDA. My data is highly dom ...

I have a problem with non-negative matrix factorization in octave. I try to estimate synergies from Emg-data, but octave only lets me do this for two ...

There is not a built-in function in python's sklearn to do this. In my research I found out that a "precision score" err(components) can be calculate ...

I'm working in a decently-sized data set, and wish to identify what # topics make sense. I used both NMF and LDA (sklearn implementation), but the key ...

I'm trying to use sklearn.decomposition.NMF to a matrix R that contains data on how users rated items to predict user ratings for items that they have ...

I am doing topic modeling using NMF model. I want to evaluate its performance by confusion matrix or if there are other better methods to evaluate NMF ...

I'm looking for a fast NMF implementation for sparse matrices in R. The R NMF package consists of a number of algorithms, none of which impress in te ...

What is n_components in sklearn.NMF? ...

I have a list of text comments that are fed into a non-negative matrix factorization topic modelling program. The example output may be something l ...

The aim is to implement a fast version of the orthogonal projective non-negative matrix factorization (opnmf) in R. I am translating the matlab code a ...

I am working on topic modeling and I am curious what exactly would be short text under this context?For example, if there is a research paper ,would t ...

I'm working with the Scikit-Learn NMF algorithm and I would like to know if there is any way to use negative values with the algorithm, I need it to w ...

I´m new with Nmf with python . I´m trying to create a list of images to then get the components. Here is the code: And then the next error appears: ...

I'm trying to do a basic recommendation system. I use Surprise's NMF model for this. Here is my dataset just before starting to work with NMF: Aft ...

I'm trying to build a utility where a dataset will be processed by the NMF model every couple of days. For this in the first run, I'm providing with a ...

I'm trying to build an NMF model for topic extraction. For re-training of the model, I've to pass a parameter to the nmf function, for which I need to ...