Topic Modeling, Data Science, Machine Learning, NLP, Tips And Tricks.
of a face, such as the nose, the eyes, the mouth, etc. In contrast, PCA loading vectors are abstract, as you can subtract one part from another. Facial parts learned from nonnegative matrix factorization. Source: Gillis (2014) Sums to 1. The embeddings in LDA are proportions. The model assumes