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Update IVFSparse with the following improvements for speed and accuracy.
- Build k-means clusters using top n most important features from L2 norm vector
- Prune small clusters and merge them into larger clusters
- Calculate block summary vectors using max values per column (block max summary vector)
- Add threaded batch search (majority of code is executed outside of the GIL with SciPy/NumPy, someday won't matter with GIL-less Python)
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