View source: R/haystack_clustering_highD.R
kmeans_haystack_highD | R Documentation |
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,
...
)
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
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