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Implements a k-nearest neighbor search based on pre-clustering with the k-means algorithm, as described by Wang (2012). This is faster than conventional kd-trees for neighbor searching in higher (> 20) dimensional data. Functions are also provided to search for all neighbors within a given distance. Parallelization is achieved using the BiocParallel framework.
Package details |
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Author | Aaron Lun [aut, cre, cph] |
Bioconductor views | Classification Clustering |
Maintainer | Aaron Lun <alun@wehi.edu.au> |
License | GPL-3 |
Version | 0.99.16 |
Package repository | View on Bioconductor |
Installation |
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