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DCI: Dynamic Continuous Indexing

Fast, generic implementations of Dynamic Continuous Indexing and Prioritized Dynamic Continuous Indexing (PDCI).

Additionally, includes matrix hashes for several kinds of dissimilarity measures. These include:

  1. L2 distance (both E2LSH and P-stable LSHashing)
  2. L1 distance (P-stable)
  3. Total Variation Distance (a special case of P-stable L1)
  4. Lp distance, 1 < p < 2, using CMS sampling
  5. Jensen-Shannon Divergence
  6. S2JSD (Jensen-Shannon Metric, the square root of the JSD)
  7. Hellinger Distance

These can be used either in a table, such as dci::hash::LSHTable, or for DCI.

The Fast Randomized Projections project in which this was originally developed also has an FHTHasher, which computes the projections using the FHT compatible with this.

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