--- a
+++ b/man/identifyClusters.Rd
@@ -0,0 +1,33 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/scAI_model.R
+\name{identifyClusters}
+\alias{identifyClusters}
+\title{Identify cell clusters}
+\usage{
+identifyClusters(object, resolution = 1,
+  partition.type = "RBConfigurationVertexPartition", seed.use = 42L,
+  n.iter = 10L, initial.membership = NULL, weights = NULL,
+  node.sizes = NULL, K = NULL)
+}
+\arguments{
+\item{object}{scAI object}
+
+\item{resolution}{A parameter controlling the coarseness of the clusters}
+
+\item{partition.type}{Type of partition to use. Defaults to RBConfigurationVertexPartition. Options include: ModularityVertexPartition, RBERVertexPartition, CPMVertexPartition, MutableVertexPartition, SignificanceVertexPartition, SurpriseVertexPartition (see the Leiden python module documentation for more details)}
+
+\item{seed.use}{set seed}
+
+\item{n.iter}{number of iteration}
+
+\item{initial.membership}{arameters to pass to the Python leidenalg function defaults initial_membership=None}
+
+\item{weights}{defaults weights=None}
+
+\item{node.sizes}{Parameters to pass to the Python leidenalg function}
+
+\item{K}{Number of clusters if performing hierarchical clustering of the consensus matrix}
+}
+\description{
+Identify cell clusters
+}