Description: In statistics, Isomap is one of several widely used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional scaling). Isomap is used for computing a quasi-isometric, low-dimensional embedding of a set of high-dimensional data points. The algorithm provides a simple method for estimating the intrinsic geometry of a data manifold based on a rough estimate of each data point’s neighbors on the manifold. Isomap is highly efficient and generally applicable to a broad range of data sources and dimensionalities.
- [LGE] - LGE algorithm (Linear Graph Embedding) f
- [OLPP] - Orthogonal Linear Graph Embedding Algori
- [SSIsomap1] - semi supervised Isomap,matlab codes.
- [Isomap] - Dimensionality reduction algorithm Isoma
- [neighborhood-selection-for-isomap] - News on Pattern Recognition 2011, an art
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isomap.m
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