scale_S_neib: Scale the neighbourhood size
In theislab/kbranches: K-Branches clustering

Description Usage Arguments Value Examples

View source: R/scale-neighborhood-size.R

scales the number of neighbors (neighbourhood size) depending on the local sample density. keeps increasing K until the distance to the furthest of the K neighbors is above the dmin threshold

1	scale_S_neib(input_dat, n, K_init, Dist, dmin)

`input_dat:`	data frame of input data with rows=samles and cols=dimensions
`n:`	position (row) of the sample, in the input_dat data frame
`K_init:`	initial number of nearest neighbors that needs to be scaled
`Dist:`	distance matrix of all samples
`dmin:`	distance threshold (to the furthest neighbor) to be reached

Kscaled: the scaled neighbourhood size

data(scdata.3lines.simulated6genes)
Dist <- compute_all_distances(scdata.3lines.simulated6genes)

#find the 5 nearest neighbours of the second sample
neibs <- find_K_nearest(n = 2, K = 5, Dist = Dist)