RnBeadClustering-class: RnBeadClustering Class
In RnBeads: RnBeads

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

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.