Dimensional reduction using data matching in high dimensional space

摘要

A method is provided to match an unknown data point with a known data point contained in a multi-dimensional data structure. The method may include receiving data from any multi-dimensional source where a query may be used to locate specific data points within that source. The method receives a number of inputs, including a Euclidean error distance and a number of reference points to use. Furthermore, the method determines optimal reference points to locate a relatively small number of data points within the data structure that possibly match the unknown point. Once possible match points are located, the method then determines the unknown point's match.