/MultiThread-K-Nearest-Neighbors

Given a set of points in a 2D space, we require to compute in parallel for each one of the points in the set of points the set of k closest points. Point i is the point whose coordinates are listed in line i in the file. The input of the program is a set of floating-point coordinates (one per line, comma separated) and the output is a set of lines each hosting a point id and a list of point ids representing its KNN set ordered with respect to distance.

Primary LanguageJupyter Notebook

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