Silhouette: Silhouette Plot
In RuiyuRayWang/scWidgets: A collection of scRNAseq analysis functions

Unsupervised way to choose the optimal clustering resolutions or number of clusters. Computes distance matrix based on correlation distance and calculate silhouette scores for a given clustering result. Outputs a silhouette class object and produces a Silhouette plot.

1	Silhouette(object, cluster_ident, data_from = "pca")

`object`	Seurat object.
`cluster_ident`	Identity class of clustering.
`data_from`	By default, data_from = "pca", extract pca embedding as input. In case of data_from = "expression", "data" slot of the expression matrix is used.