mlg_cluster: MLG clustering This function takes a list of low dimensional...
In shanlu01/mlg: MLG Clustering

MLG clustering This function takes a list of low dimensional embedding data as input, and performs MLG clustering.

mlg_cluster(
  factor.list,
  knn.param = 20,
  prune.param = 1/5,
  cluster.resolution,
  cluster.algorithm = 1
)

`factor.list`	A list that contains several low dimensional embedding data.
`knn.param`	The number of neighbors used to construct k-nearest-neighbot graph
`prune.param`	The prune parameter for SNN graph. There is an edge between cell i and j in the SNN graph, if the number of common neighbors between i and j exceeds the product of knn.param and knn.param.
`cluster.resolution`	The resolution number of modularity maximization.
`cluster.algorithm`	The clustering algorithm. 1–Louvain algorithm; 2–Louvain algorithm with multilevel refinement; 3–SLM algorithm.