An MPI based implementation of K-NN search algorithm, aimed for use on CPU clusters.
-
Updated
Jan 11, 2018 - C
An MPI based implementation of K-NN search algorithm, aimed for use on CPU clusters.
KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.
Implementation of k-NN classification algorithm in C (standard C89/C90)
Classifier for the iris data set using the k-nearest neighbors algorithm.
Add a description, image, and links to the k-nearest-neighbors topic page so that developers can more easily learn about it.
To associate your repository with the k-nearest-neighbors topic, visit your repo's landing page and select "manage topics."