Function for k-means clustering of genes according to their distribution in a higher-dimensional space.

kmeans_haystack_highD(
  x,
  detection,
  genes,
  grid.coordinates = NULL,
  k,
  scale = TRUE,
  ...
)

Arguments

x: Coordinates of cells in a 2D or higher-dimensional space. Rows represent cells, columns the dimensions of the space.
detection: A logical matrix showing which genes (rows) are detected in which cells (columns)
genes: A set of genes (of the 'detection' data) which will be clustered.
grid.coordinates: Coordinates of grid points in the same space as 'x', to be used to estimate densities for clustering.
k: The number of clusters to return.
scale: whether to scale data.
...: Additional parameters which will be passed on to the kmeans function.

An object of class kmeans, describing a clustering into 'k' clusters

# to be added