Find point clounds single cells in a low-dimensional space using k-means clustering. Can be useful for smaller datasets, where graph-based clustering can perform poorly TODO : add documentation here
KClustDimension(object, dims.use = c(1, 2), cells.use = NULL, pt.size = 4,
reduction.use = "tsne", k.use = 5, set.ident = T, seed.use = 1, ...)