knn.from.data.reps

function that returns a metric distance

metric.function

numeric, used for internal tuning of implementation

subsample.k

integer, number of repeats to carry out

reps

Repeat knn.from.data multiple times, pick the best neighbors

internal

Uniform manifold approximation and projection is a technique
for dimension reduction. The algorithm was described by McInnes and
Healy (2018) in <arXiv:1802.03426>. This package provides an interface
for two implementations. One is written from scratch, including components
for nearest-neighbor search and for embedding. The second implementation
is a wrapper for 'python' package 'umap-learn' (requires separate
installation, see vignette for more details).

knn.from.data.reps: Repeat knn.from.data multiple times, pick the best neighbors

Description

Usage

Arguments

Value