RnBeadClustering-class: 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.