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Localization in Wireless Sensor Network Using Manifold Learning

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Figure

Fig. 2: Depicts the Non-Linear Reduction of Dimensions Elaborately [2]
Fig. 4: Triangulation of 2D and 3D surfaces [12]
Fig. 6: It shows the Various Manifold Learning Techniques Having 1000 Data Points and 10 Neighbors.
Table 1: The Percentage of Run Time Taken by Different Parts of the Algorithm [1]
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