Svd, Dimensionality Reduction, Latent Semantic Indexing, Machine Learning, Similarity Search.
this transformation is explained below as the product of a matrix to its transpose. It can be written as below, WW’ is real symmetrical ( term-term similarity matrix), Columns of T are Eigen Vectors. W’W is eral and symmetrical ( document-document similarity matrix), columns of D are Eigen vectors