Class Isomap
Defined in File Isomap.hpp
Class Documentation
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class Isomap
Isometric feature mapping. Isomap is a widely used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical multidimensional scaling. Isomap is used for computing a quasi-isometric, low-dimensional embedding of a set of high-dimensional data points. Isomap is highly efficient and generally applicable to a broad range of data sources and dimensionalities.
References
J. B. Tenenbaum, V. de Silva and J. C. Langford A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science 290(5500):2319-2323, 2000.
Public Functions
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Isomap(std::optional<int> n_neighbors = 5, std::optional<double> radius = std::nullopt, int n_components = 2, int max_iter = 100, double eps = 1e-4, double learning_rate = 0.2, int random_state = 0, const std::string &neighbors_algorithm = "auto", const std::string &metric = "euclidean")
Constructor.
- Parameters
n_neighbors – the number of nearest neighbors to search for. If present, ‘radius’ must be std::nullopt.
radius – the nearest neighbors search radius. If present, ‘n_neighbors’ must be std::nullopt.
n_components – the dimension of the projection.
max_iter – MDS parameter.
eps – MDS parameter.
learning_rate – MDS parameter.
random_state – MDS parameter.
neighbors_algorithm – algorithm to use for nearest neighbors search. Supported: ‘auto’, ‘brute’, ‘cover_tree’
metric – metric for nearest neighbors search.
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~Isomap()
Public Members
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NearestNeighbors *nbrs_
Stores nearest neighbors instance.