spineClustering: Clustering dendritic spines

In sergioluengosanchez/spineSimulation: Dendritic spine simulation from a probabilistic model

Description

Read a csv file with the features of the morphology of the dendritic spines. Cluster dendritic spines according to a mixture model of multivariate Gaussians.

Usage

spineClustering(csvSpines, numClusters = c(1:15), scale = T)

Arguments

csvSpines	string value which indicates the path to the csv file where are saved the morphological features of the spines
scale	boolean value that indicates if the data should be standardized
G	a vector of integers with the number of clusters to try

Value

Mclust object that contains the mixture of multivariate Gaussians

Examples

model<-spineClustering(csvSpines = system.file("extdata", "data.csv", package = "spineSimulation"), numClusters = c(1:15), scale = T)

sergioluengosanchez/spineSimulation documentation built on May 29, 2019, 9:34 a.m.