K-nearest neighbor algorithm - Wikipedia, the free encyclopedia
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In pattern recognition, the k -nearest neighbors algorithm ( k -NN) is a method for classifying objects based on closest training examples in the feature space. k -NN is a type of instance-ba...
en.wikipedia.org/wiki/K-nearest_neighbor_algorithm
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Nearest neighbor search - Wikipedia, the free encyclopedia
Nearest neighbor search ( NNS ), also known as proximity search , similarity search or closest point search , is an optimization problem for finding closest points in metric spaces. The probl...
en.wikipedia.org/wiki/Nearest_neighbor_search
Homepage of Yury Lifshits ... To preprocess a database of N objects so that given a query object, one can effectively determine its nearest neighbors in database...
simsearch.yury.name/
Introduction to K Nearest Neighbors algorithm. Tutorial on data mining and statistical pattern reconition using spreadsheet without programming ... Resources for K Nearest Neighbors Algorithm...
people.revoledu.com/kardi/tutorial/KNN/index.html
Computing exact nearest neighbors in dimensions much higher than 8 seems to be a very difficult task. Few methods seem to be significantly better than a brute-force computation of all distances.
www.cs.umd.edu/~mount/ANN/
people.clemson.edu — This is a website that in conjunction with google maps allows you to enter in an address to find out the names, adresses and phone numbers of the people who live on that street. Kinda scarey. ... jhowe, on 10/12/2007, -0/+0This is awesome, I always wanted to know who my neighbors were.
digg.com/tech_news/Find_out_who_lives_on_your_street._F... digg.com/tech_news/Find_out_who_lives_on_your_street._For_free_
ANN is a library written in the C++ programming language to support both exact and approximate nearest neighbor searching in spaces of various dimensions. It was implemented by David M. Mount of the University of Maryland, and Sunil Arya ... ANN (pronounced like the name ``Ann'') stands for Approximate Nearest Neighbors.
www.cs.sunysb.edu/~algorith/implement/ANN/implement.sht... www.cs.sunysb.edu/~algorith/implement/ANN/implement.shtml
You will also find a message text field with some information about the nearest neighbors' search: ... This option allows you to study the influence of the data set's distribution and size as well as the number of nearest neighbors to search...
cgm.cs.mcgill.ca/~soss/cs644/projects/perrier/Nearest.h... cgm.cs.mcgill.ca/~soss/cs644/projects/perrier/Nearest.html
David Eppstein and Jeffrey Gordon Erickson; Discrete & Computational Geometry 11(3):321–350, Apr 1994; Proc. 4th Symp. Discrete Algorithms, ACM and SIAM, Jan 1993, pp. 64–73; Tech. report 92-71, Univ. ... Extending range queries and nearest neighbors ... Separators for sphere-packings and nearest neighbor graphs...
fano.ics.uci.edu/cites/Document/Iterated-nearest-neighb... fano.ics.uci.edu/cites/Document/Iterated-nearest-neighbors-and-finding-minimal-polytopes.html
Spatial users often want to find the object nearest a given point. This operation, usually referred to as nearest neighbor search, is remarkably common in many areas of computer science. In general, we may wish to find not only the nearest, but the k-nearest neighbors.
blogs.msdn.com/isaac/archive/2008/10/23/nearest-neighbo... blogs.msdn.com/isaac/archive/2008/10/23/nearest-neighbors.aspx
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