Research Article
Enhancing Both Efficiency and Representational Capability of Isomap by Extensive Landmark Selection
Figure 1
(a) is a D manifold combined by two crossed S-curve manifolds; (b) is a data set with vertices sampled from the manifold of (a), superimposed with 5-NN neighborhood graph; A, B, and C are three vertices lying on the manifold; the real curves are estimated geodesic curves between A and B and A and C, respectively; (c) is the unwrapped 2D corresponding points of (b); the broken lines are Euclidean lines between A and B and A and C, respectively; the big grey points are the preferred landmarks with faithful geodesic distances to other points.
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