Walle
Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, the term "landmarks" is often used in the context of manifold learning and dimensionality reduction techniques, where the goal is to uncover the underlying structure of high-dimensional data by representing it in a lower-dimensional space. One popular method for achieving this is by using landmark-based methods, which rely on a set of carefully selected reference points (i.e., landmarks) to capture..."
