nmslibR: Non Metric Space (Approximate) Library

A Non-Metric Space Library ('NMSLIB' <https://github.com/nmslib/nmslib>) wrapper, which according to the authors "is an efficient cross-platform similarity search library and a toolkit for evaluation of similarity search methods. The goal of the 'NMSLIB' <https://github.com/searchivarius/nmslib> Library is to create an effective and comprehensive toolkit for searching in generic non-metric spaces. Being comprehensive is important, because no single method is likely to be sufficient in all cases. Also note that exact solutions are hardly efficient in high dimensions and/or non-metric spaces. Hence, the main focus is on approximate methods". The wrapper also includes Approximate Kernel k-Nearest-Neighbor functions based on the 'NMSLIB' <https://github.com/searchivarius/nmslib> 'Python' Library.

Package details

AuthorLampros Mouselimis [aut, cre], B. Naidan [cph] (Author of the Non-Metric Space Library (NMSLIB)), L. Boytsov [cph] (Author of the Non-Metric Space Library (NMSLIB)), Yu. Malkov [cph] (Author of the Non-Metric Space Library (NMSLIB)), B. Frederickson [cph] (Author of the Non-Metric Space Library (NMSLIB)), D. Novak [cph] (Author of the Non-Metric Space Library (NMSLIB))
MaintainerLampros Mouselimis <mouselimislampros@gmail.com>
URL https://github.com/mlampros/nmslibR
Package repositoryView on CRAN
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nmslibR documentation built on March 13, 2020, 2 a.m.