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- refers to various phenomena that arise when analyzing and organizing data in high dimensional spaces
- Common theme: when number of dimensions increases, the volume of the space increases so fast that the available data becomes sparse
- Issue with any method that requires statistical significance: the amount of data needed to support the result grows exponentially with the dimensionality
- Issue when algorithms don’t scale well on high dimensions typically when O(nkn)O(nkn)
- Everything becomes far and difficult to organize
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