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It works by projecting the data on a random one-dimensional subspace and thresholding the projected 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 to\u0026amp;nbsp;develop and share code implementing the n-TARP clustering method.\u0026lt;/p\u0026gt;","descriptionType":"Abstract"},{"description":"Binary clustering algorithm based on random projections","descriptionType":"Other"}],"geoLocations":[],"fundingReferences":[{"awardTitle":"Investigating Engineering Students Habits of 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