Dbscan-class: The Dbscan class

In ilyessr/conclus: ScRNA-seq Workflow CONCLUS - From CONsensus CLUSters To A Meaningful CONCLUSion

The Dbscan class

Description

S4 class containing the features to plot DBSCAN. This constructor is internal and is used by the method runDBSCAN.

Slots

name

A character string representing the name of the Dbscan clustering.

epsilon

A numeric vector. The epsilon is the distance to
consider two points belonging to the same cluster. Default = c(1.3, 1.4, 1.5).

minPoints

A numeric value. The minPoints is the minimum number of points to construct a cluster.

clustering

A matrix that contains the result of one DBSCAN clustering solution.

Constructor

Dbscan(name = "character", epsilon = "numeric", minPoints = "numeric", clustering = "matrix")

name: Empty character string or the name of the tSNE.
epsilon: Empty 'numeric' representing the epsilon.
minPoints: Empty 'numeric' representing the minPoints value.
clustering: Empty 'numeric' "matrix" or matrix of clustering.

Accessors

In the following snippets, x is a Dbscan object.

getName(x): Get the name of the Dbscan.
getEpsilon(x): Get the epsilon used.
getMinPoints(x): Get the MinPoint used.
getClustering(x): Get the matrix of DBSCAN clustering.

Subsetting

In the following snippets, x is a Dbscan object.

setName(x) <- value: Set the name of the Dbscan.
setEpsilon(x) <- value: Set the epsilon used.
setMinPoints(x) <- value: Set the minPoints used.
setClustering(x) <- value: Set the matrix of Dbscan clustering.

Author(s)

Ilyess Rachedi and Nicolas Descostes

See Also

runDBSCAN

ilyessr/conclus documentation built on April 8, 2022, 1:43 p.m.