BiocNeighbors-package: BiocNeighbors: Nearest Neighbor Detection for Bioconductor...
In LTLA/BiocNeighbors: Nearest Neighbor Detection for Bioconductor Packages
BiocNeighbors-package R Documentation
BiocNeighbors: Nearest Neighbor Detection for Bioconductor Packages
Description
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.
Author(s)
Maintainer: Aaron Lun infinite.monkeys.with.keyboards@gmail.com [copyright holder]
LTLA/BiocNeighbors documentation built on Dec. 12, 2024, 7:45 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| BiocNeighbors-package | R Documentation |
BiocNeighbors: Nearest Neighbor Detection for Bioconductor Packages
Description
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.
Author(s)
Maintainer: Aaron Lun infinite.monkeys.with.keyboards@gmail.com [copyright holder]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.