Svd, Dimensionality Reduction, Latent Semantic Indexing, Machine Learning, Similarity Search.
reduce the dimensionality by choosing the most significant (bigger) Eigen values which has higher variability and which can approximately represent the input vector. From “Deerwester’s Paper”, For this example, we have chosen the value of k as 2. Now the entire document is represented into 2