Isomap is a Nonlinear dimensionality reduction method. And is also one of several widely used low-dimensional embedding methods.[1] 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.

IsomapR1
........\Isomap.m
........\IsomapII.m
........\L2_distance.m
........\Readme
........\dfun.m
........\dijk.m
........\dijkstra.cpp
........\dijkstra.dll
........\dijkstra.m
........\fibheap.h
........\swiss_roll_data.mat
face_data.mat
.............\face_data.mat
.............\index.mat
.............\指标数据汇总表.xls
.............\指标数据汇总表.xlsx

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