Calculate clusters based on kNN clustering

Source: R/clustering.R

This function performs k-Nearest Neighbors (kNN) clustering on a set of scores.

kNN_clustering(scores, k)

Arguments

scores

A Matrix::Matrix() of (distance) scores

k

numerical, the number of neighbors

Value

A list of clusters

Examples

## Mock example showing how the data should look like
scores <- Matrix::Matrix(stats::runif(100, min = 0, max = 1), 10, 10)
rownames(scores) <- colnames(scores) <- c("a", "b", "c", "d", "e",
                                "f", "g", "h", "i", "j")
cluster <- kNN_clustering(scores, k = 3)

## Example using the data available in the package
data(scores_macrophage_topGO_example_small,
     package = "GeDi",
     envir = environment())

kNN <- kNN_clustering(scores_macrophage_topGO_example_small,
                        k = 5)