estimationCellBarycenter: estimationCellBarycenter
In optimalFlow: optimalFlow

Description Usage Arguments Value Examples

View source: R/estimationCellBarycenter.R

Estimates a Wasserstein barycenter for a cluster type using a collection of partitions.

1	estimationCellBarycenter(cell, cytometries)

`cell`	Name of the cluster of interest.
`cytometries`	List of clusterings.

A list representing the (1-)barycenter:

mean: Mean of the barycenter.
cov: Covariance of the barycenter.
weight: Weight associated to the barycenter.
type: Type of the cluster.

partition1 <- list(list(mean = c(1, 1), cov = diag(1, 2), weight = 0.5, type = '1'),
                  list(mean = c(-1, -1), cov = diag(1, 2), weight = 0.5, type = '2'))
partition2 <- list(list(mean = c(1, -1), cov = diag(1, 2), weight = 0.5, type = '1'),
                  list(mean = c(-1, 1), cov = diag(1, 2), weight = 0.5, type = '2'))
cytometries <- list(partition1, partition2)
estimationCellBarycenter('1',cytometries)