| RnBeadClustering-class {RnBeads} | R Documentation |
Storage class for the results of a clustering algorithm applied on an RnBSet dataset.
Dissimilarity metric used in the form of a one-element character vector.
Dimensionality of the clustered points in the form of a one-element integer vector.
Clustering algorithm (and optionally, type) as a character vector of length 1 or 2.
Resulting object after applying the clustering algorithm on a dataset.
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.
numeric vector of mean silhouette values for each tested value of k.
samplesGets the identifiers of all samples used in the clustering.
Yassen Assenov