Fnn {Sconify} | R Documentation

## Compute knn using the fnn algorithm

### Description

This function is a wrapper around FNN package functionality to speed up the KNN process. It uses KD trees as default, along with k set to 100. Selection of K will vary based on the dataset. See k.selection.R.

### Usage

    Fnn(cell.df, input.markers, k = 100)

### Arguments

`cell.df` | the cell data frame used as input
`input.markers` | markers to be used as input for knn
`k` | the number of nearest neighbors to identify

### Value

nn: list of 2, nn.index: index of knn (columns) for each cell (rows) nn.dist: euclidean distance of each k-nearest neighbor

### Examples

    Fnn(wand.combined, input.markers)

[Package Sconify version 1.0.4 Index]