Category Archives: Uncategorized

ISOMAP algorithm for Nonlinear Dimensionality Reduction

Overview ISOMAP (Isometric Mapping) is a technique used for dimensionality reduction. It is one of the Non-linear dimensionality reduction methods that provides a low-dimensional embedding of high-dimensional data. Unlike PCA or SVD which are linear methods and look for linear correlations in the data, ISOMAP can handle non-linear correlations. Here’s how it works: The benefit… Read More »