% 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

}