HnswIndex: The HnswIndex class

In LTLA/kmknn: Nearest Neighbor Detection for Bioconductor Packages

The HnswIndex class

Description

A class to hold indexing structures for the HNSW algorithm for approximate nearest neighbor identification.

Usage

HnswIndex(data, path, ef.search = 10, NAMES = NULL, distance = "Euclidean")

Arguments

data	A numeric matrix with data points in columns and dimensions in rows.
path	A string specifying the path to the index file.
ef.search	Integer scalar specifying the size of the dynamic list at run time.
NAMES	A character vector of sample names or NULL.
distance	A string specifying the distance metric to use.

Details

The HnswIndex class holds the indexing structure required to run the HNSW algorithm. Users should never need to call the constructor explicitly, but should generate instances of HnswIndex classes with buildHnsw.

Users can get values from an HnswIndex object with the usual [[ syntax. All parameters listed in the constructor can be extracted in this manner.

Value

An instance of the HnswIndex class.

Author(s)

Aaron Lun

See Also

buildHnsw, to build the index.

BiocNeighborIndex, for the parent class and its available methods.

Examples

example(buildHnsw)
out[['path']]

LTLA/kmknn documentation built on Feb. 5, 2024, 6:03 p.m.