GitHub

K Nearest Neighbour (KNN, neighbourhood based machine learning algorithm)

KNN assumes, data that are similar should be close to each other in the feature space, As it makes prediction based on the neighbour of a query point. KNN assumes data is normalized. As KNN compares ...
GitHub

K-Nearest-Neighbour-Algorithm-using-K-D-Trees

Results of Application OF KNN Algorithm : 1 Nearest Point is {1446-5886-2679-699} at a Distance: 3393.897317 2 Nearest Point is {2870-7522-474-3499} at a Distance: 3431.595256 3 Nearest Point is {2138 ...
IEEE

An Improved Multi-label k-Nearest Neighbour Algorithm with Prototype Selection using DENCLUE

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 ...
IEEE

K-Nearest Neighbour (KNN) Algorithm based Cooperative Spectrum Sensing in Cognitive Radio Networks

Abstract: The ability to provide dynamic spectrum access through cognitive radio technology could help address the shortage of radio spectrum. In order to allocate the free band to the secondary users ...