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I'm looking for information on searching (filtering) high-dimensional data. I'm not interested in nearest-neighbour search or clustering, but rather filtering/sorting by subset of dimensions - like in relational algebra. Unfortunately my google-fu points me mostly towards spatial indexes or already mentioned nearest-neighbour.

  • What's the proper name of the problem I'm interested in?
  • Which index structures support this type of search?

(by high-dimensional I mean 100-1000 dimensions)

An example would be compressed bitmap indexes

  • Your problem is what Data Warehouses have to deal with. And quick google search shows there is nothing better than normal relational indexing. – Euphoric Jul 1 '16 at 6:07
  • Consider to add a more detailed example to your question for the kind of data and the use case you have in mind. In the current form, your question is IMHO very vague. – Doc Brown Jul 1 '16 at 6:45
  • This paper may be helpful: microsoft.com/en-us/research/publication/… – Eric Lippert Jul 1 '16 at 16:25

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