K-nearest Neighbour(KNN) algorithm is used for supervised learning. KNN algorithms time complexity for finding nearest neighbours for n points is n^2 using eucledian distance .But the time complexity ...

Abstract: Prototype Selection (PS) techniques can be implemented very efficiently to allow the nearest neighbor classification to be faster by using a simple method to preserve the most prominent data ...

Abstract: This paper proposes an optimization scheme for the image interpolation algorithms, in particular the bilinear algorithm. The only original point is a decision step in which it is decided ...