Nearest neighbor interpolation. In nearest neighbor interpolation, the estimated value is simply the same value as that of the nearest data point. Here the nearest value provided by the dataset is at location A, and so we use the elevation at A as the estimated elevation at location E. Method 1: Nearest Neighbour Interpolation. In figure 8, one point may map to only one (point 1) or may be in between two (point 2), or may not map to any point on the new grid (point 3).

Pixel interpolation algorithms range from simplistic procedures like the nearest neighbor algorithm, to sophisticated strategies founded on multiresolution analysis and fractal theory. Most used and practical algorithms, however, follow some sort of polynomial interpolation. Nearest Neighbor Rule. Consider a test point x. x' is the closest point to x out of the rest of the test points. Nearest Neighbor Rule selects the class for x with the. assumption that: Is this reasonable?