LDA does this by taking a set of documents, identifying the words, and grouping them into topics based on how frequently words co-occur. LDA topic modeling involves several steps.

Learn what are the key differences between PCA and LDA, two methods for reducing the number of features or variables in machine learning, and how to use them in Python.

Used LDA (supervised technique) to perform dimensionality reduction on datasets. Modeled Logistic Regression on selected features to classify the wine customers. Model accuracy 100.00% - ...

This study combined linear discriminant analysis (LDA) and multivariate logistic regression models to systematically analyze key indicators in flood prediction, aiming to identify factors that are ...