clusterData: Cluster time series data.
In TimeSeriesExperiment: Analysis for short time-series data

Description Usage Arguments Value Examples

Perform cluster assignment using hierarchical clustering and static or dynamic branch cutting. If 'subset' is specified the clsutering is performed on the subset of the data, and the rest of the rows are assigned based on the distances to the centroids of computed clusters.

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clusterData(X, dist = "euclidean", dynamic = FALSE,
  hclust_params = list(), static_cut_params = list(h = 0.5),
  dynamic_cut_params = list(max_height = 0.9))

`X`	a data matrix or data.frame where rows are time series.
`dist`	the distance metric for the dissimilarity used for clustering.
`dynamic`	whether dynamic branch cutting should be done for cluster assignment.
`hclust_params`	parameters for `hclust` function.
`static_cut_params`	parameters for `assignClusterStatic`.
`dynamic_cut_params`	parameters for `assignClusterDynamic`.

a list with the hclust object, as well as clust_map and clust_centroids data.frames.

data("endoderm_small")
endoderm_small <- normalizeData(endoderm_small)
X <- SummarizedExperiment::assays(endoderm_small)$norm
clust_res <- clusterData(X)
head(clust_res$clust_centroids)
head(clust_res$clust_map)