Personalized AI apps
Build multi-agent systems without code and automate document search, RAG and content generation
Start free trial Question
Dimensionality Reduction - What is the difference between PCA and LDA?
Answer
PCA is an unsupervised method that aims to find the directions of maximum variance in the data, while LDA is a supervised method that aims to find the projection that best separates the classes in the data. The choice of method depends on the specific problem and the characteristics of the dataset.
