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Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu This is a collection of C++ procedures for performing k-means clustering based on a combination of local search and Lloyd's algorithm (also known as the k-means algorithm). Given any set of k centers Z, for each center z in Z, let V(z) denote its neighborhood, that is, the set of data points f
ANN is a library written in C++, which supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions. In the nearest neighbor problem a set of data points in d-dimensional space is given. These points are preprocessed into a data structure, so that given any query point q, the nearest or generally k nearest points of P to q can be
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