The nearest neighbor problem is defined as follows: given a set of n points in a d-dimensional space, build a data structure which, given any query point q, finds a data point closest to q. The problem has numerous applications, especially for large values of d.
In this talk I will present an overview of old and new algorithms for solving this problem, as well as its variants.
Video of Talk (RealPlayer File)
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