Dataset Groups Activity Stream Manifold Learning The dataset used in the paper is a finite pseudometric space with n points, and the goal is to construct an n x m real-valued matrix of embeddings. BibTex: @dataset{Dan_Shiebler_2024, abstract = {The dataset used in the paper is a finite pseudometric space with n points, and the goal is to construct an n x m real-valued matrix of embeddings.}, author = {Dan Shiebler}, doi = {10.57702/d0s4243f}, institution = {No Organization}, keyword = {'distance estimation', 'embeddings', 'graph Laplacian', 'manifold learning', 'non-parametric manifold learning', 'pseudometric space'}, month = {dec}, publisher = {TIB}, title = {Manifold Learning}, url = {https://service.tib.eu/ldmservice/dataset/manifold-learning}, year = {2024} }
