find_dm_k: Find a suitable k

In theislab/destiny: Creates diffusion maps

Find a suitable k

Description

The k parameter for the k nearest neighbors used in DiffusionMap should be as big as possible while still being computationally feasible. This function approximates it depending on the size of the dataset n.

Usage

find_dm_k(n, min_k = 100L, small = 1000L, big = 10000L)

Arguments

n	Number of possible neighbors (nrow(dataset) - 1)
min_k	Minimum number of neighbors. Will be chosen for n \ge big
small	Number of neighbors considered small. If/where n \le small, n itself will be returned.
big	Number of neighbors considered big. If/where n \ge big, min_k will be returned.

Value

A vector of the same length as n that contains suitable k values for the respective n

Examples

curve(find_dm_k(n),     0, 13000, xname = 'n')
curve(find_dm_k(n) / n, 0, 13000, xname = 'n')

theislab/destiny documentation built on Nov. 19, 2024, 5:43 a.m.