reconstruct {MultIS} | R Documentation |
Apply a clustering algorithm to a given time course.
Description
Apply a clustering algorithm to a given time course.
Usage
reconstruct(
readouts,
target_communities,
method = "kmedoids",
sim = MultIS::get_similarity_matrix(readouts = readouts, upper = TRUE),
cluster_obj = FALSE
)
Arguments
readouts |
The time course for which to find clusters. |
target_communities |
The number of clusters to cluster for. |
method |
Either "kmedoids", "kmeans" or any string permitted as a method for stats::hclust. |
sim |
A similarity matrix used with all methods except "kmeans". |
cluster_obj |
If TRUE, a clusterObject with the readouts, similarity and clustering is returned. |
Value
A matrix with two columns: "Clone" and "IS" or if cluster_obj = TRUE a cluster object, which can be used to plot the clustering.
[Package MultIS version 0.6.2 Index]