Changes in version 1.6.0                        

NEW FEATURES

    o   Removed almost all C/C++ code, so compiling on different
	platforms is easier

    o   New LSH algorithm based on Annoy library produced by Spotify
	(https://github.com/spotify/annoy).

    o   Performance tests are now based on Rank Based Overlap measure
	(http://www.williamwebber.com/research/papers/wmz10_tois.pdf).

UPGRADING

    o   LSH parameters have changed. See man pages for eiQuery and
	eiCluster for details

    o   loadLSHData and freeLSHData are deprecated and no longer do
	anything. See man pages for details.

                        Changes in version 1.4.0                        

NEW FEATURES

    o   eiCluster can now cluster subsets of database

    o   use new features in ChemmineR to store duplicate descriptors
	only once.

    o   embedded descriptors now stored in database and the matrix file
	is written out only as needed by LSH to create an index.

UPGRADING

    o   Database schema changes make this version incompatible with
	version 1.2 an earlier. Existing databases will need to be
	re-loaded.

                        Changes in version 1.2.0                        

NEW FEATURES

    o   speed improvements

    o   ieInit now accepts a SNOW cluster for parallel inserts

    o   allow compounds to be updated in-place by name

    o   eiQuery can now return similarity values instead of distances

                        Changes in version 1.0.0                        

NEW FEATURES

    o   The eiR packages introduces efficient methods for accelerating
	structure similarity searches and clustering of very large
	compound datasets. The acceleration is achieved by applying
	embedding and indexing techniques to represent chemical
	compounds in a high-dimensional Euclidean space and to employ
	ultra-fast pre-screening of the compound dataset using the
	LSH-assisted nearest neighbor search in the embedding space.
	This method can drastically reduce the search time of large
	databases, by a factor of 40–200 fold when searching for the
	100 closest compounds to a query.