It’s a tough one without reviewing your whole project. Here are couple things you can do… 1) check to see if you are preprocessing the dataset and splitting it into training and testing sets in the same way as described in the paper. differences in data preprocessing and splitting can have a significant impact on the performance of the model 2) performance of the model can be sensitive to the choice of hyperparams. You could try experimenting with different values of n_components and see if that improves the performance.
I always hated reading those papers 🙂
Try contacting the authors (LinkedIn or other sources). They do respond most of the time – at least for me.