RnBeadClustering-class {RnBeads} | R Documentation

## RnBeadClustering Class

### Description

Storage class for the results of a clustering algorithm applied on an `RnBSet` dataset.

### Slots

dissimilarity

  Dissimilarity metric used in the form of a one-element `character` vector.

dimensionality

  Dimensionality of the clustered points in the form of a one-element `integer` vector.

algorithm

  Clustering algorithm (and optionally, type) as a `character` vector of length 1 or 2.

result

  Resulting object after applying the clustering algorithm on a dataset.

assignments

  Cluster assignments for the samples in the dataset as a matrix. Row names in this matrix are sample identifiers, and each column is dedicated to partitioning into k clusters for a fixed k.

silhouettes

  `numeric` vector of mean silhouette values for each tested value of k.

### Methods and Functions

`samples`

  Gets the identifiers of all samples used in the clustering.

### Author(s)

Yassen Assenov

[Package RnBeads version 2.2.0 Index]