Svd, Dimensionality Reduction, Latent Semantic Indexing, Machine Learning, Similarity Search.
concepts, A new query vector Q can be represented in the 2 dimensional, document-concept space. Through the cosine similarity, we can identify the similar documents of the queried vector(/document). Other Reads from Dinu Thomas: Elaborating Logistic Regression