LTLA/kmknn: Nearest Neighbor Detection for Bioconductor Packages

Implements exact and approximate methods for nearest neighbor detection, in a framework that allows them to be easily switched within Bioconductor packages or workflows. Exact searches can be performed using the k-means for k-nearest neighbors algorithm or with vantage point trees. Approximate searches can be performed using the Annoy or HNSW libraries. Searching on either Euclidean or Manhattan distances is supported. Parallelization is achieved for all methods by using BiocParallel. Functions are also provided to search for all neighbors within a given distance.

Getting started

Package details

Bioconductor views Classification Clustering
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
LTLA/kmknn documentation built on Feb. 16, 2019, 4:43 a.m.