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.