Nearest neighbors are points (or other objects) in close proximity to a given location in some multi-dimensional space, e.g. a plane.
I have a set of point (x,y) on a 2d plane. Given a point (x0,y0), and the number …
matlab nearest-neighborI need to find for each point of the data set all its nearest neighbors. The data set contains approx. 10 …
c++ algorithm nearest-neighbor large-dataI'm working with PostgreSQL 9 and I want to find the nearest neighbor inside table RP for all tuples in RQ, …
sql postgresql subquery nearest-neighbor correlated-subqueryI'm having trouble coming up with an efficient SQL query to handle the following situation: Assume we have a table …
sql nearest-neighborI have implemented a quadtree structure for n points as well as a method for returning an array of points …
algorithm geolocation nearest-neighbor quadtreeI have a collection of n dimensional points and I want to find which 2 are the closest. The best I …
python algorithm numpy nearest-neighbor euclidean-distanceI working on a project at the moment, where I have a point feature -- the point feature includes a 142 …
r polygon distance point nearest-neighborSo I have about 16,000 75-dimensional data points, and for each point I want to find its k nearest neighbours (using …
algorithm data-structures computational-geometry nearest-neighbor dimensionality-reductionThis question concerns the implementation of KNN searching of KDTrees. Traversal of a KDTree to find a single best match (…
nearest-neighbor knn kdtreeInput: point = (lat, long) places = [(lat1, long1), (lat2, long2), ..., (latN, longN)] count = L Output: neighbors = subset of places close to …
python geolocation scipy nearest-neighbor kdtree