n-TARP: Binary clustering of big/small data

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n-TARP is a method to cluster data into two clusters (binary clustering). It works by projecting the data on a random one-dimensional subspace and thresholding the projected the data. This process is repeated n times, and the best clustering is selected. Thus the name n-TARP= Thresholding after Random Projection. This project is develop and share code implementing the n-TARP clustering method.

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