Open Access 2018 | OriginalPaper | Buchkapitel
Quality Assessments of Visualizations
verfasst von : Michael Christoph Thrun
Erschienen in: Projection-Based Clustering through Self-Organization and Swarm Intelligence
Verlag: Springer Fachmedien Wiesbaden
Dimensionality reduction techniques reduce the dimensions of the input space to facilitate the exploration of structures in high-dimensional data. Two general dimensionality reduction approaches exist: manifold learning and projection. Manifold learning methods attempt to find sub-spaces in which the high-dimensional distances are preserved.