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Clustering small datasets in high-dimension by random projection
The different structures uncovered are found to persist as more points are added to the dataset.
Pattern Dependence Detection using n-TARP Clustering
We propose a method to quantify and validate the dependencies of the outcome random variable on the various patterns contained in the observed random variable.
Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems
We propose classification benchmarks based on simple random projection heuristics.
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