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High-dimensional spaces arise as a way of modelling datasets with many attributes. Such a dataset can be directly represented in a space spanned by its attributes
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I've spent lots of time thinking about high-dimensional spaces, usually in the context of optimization problems. Many difficult problems that we face today can be
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High-dimensional spaces arise naturally as a way of modelling datasets with many attributes Author suggests new ways of thinking about high-dimensional
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