arXiv:1301.3849 [cs.LG]AbstractReferencesReviewsResources
Experiments with Random Projection
Published 2013-01-16Version 1
Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixtures of Gausians. Here we summarize these results and illustrate them by a wide variety of experiments on synthetic and real data.
Comments: Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000)
Keywords: experiments, promising dimensionality reduction technique, identified random projection, real data, wide variety
Tags: conference paper
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