Nearest neighbors are points (or other objects) in close proximity to a given location in some multi-dimensional space, e.g. a plane.
I am trying to implement an efficient algorithm for nearest-neighbour search problem. I have read tutorials about some data structures, …
c++ tree nearest-neighborI am looking at the Wikipedia page for KD trees. As an example, I implemented, in python, the algorithm for …
python machine-learning nearest-neighbor kdtreeI am trying to make a pixel art themed game in HTML5 canvas, and as part of that I take 10…
html html5-canvas nearest-neighbor bicubicG'day I'm trying to program a smart way to find the closest grid points to the points along a contour. …
matlab nearest-neighborI need to find "near" neighbors among a set of points. There are 10 points in the above image. Red lines …
matlab computational-geometry nearest-neighbor delaunay voronoiI have a 2D list of only 1's and 0's: Boundaries = [ [0,0,0,0,0], [0,1,1,1,0], [0,1,1,1,1], [0,1,1,1,0], [0,0,1,0,0]] I need to test this list to check if …
python arrays list nearest-neighborI'm currently attempting to find K Nearest Neighbor of all nodes of a balanced KD-Tree (with K=2). My implementation is …
algorithm nearest-neighbor kdtree knnI have two large sparse matrices: In [3]: trainX Out[3]: <6034195x755258 sparse matrix of type '<type 'numpy.float64…
python scikit-learn sparse-matrix nearest-neighborIn an extract from my textbook it says that reducing the value of K when running this algorithm actually increases …
algorithm artificial-intelligence complexity-theory nearest-neighborThis is my understanding of it: 1. Recurse down the tree, taking the left or right subtree according as whether ELEMENT …
algorithm nearest-neighbor kdtree