hclust.and.louvain: Do both hierarchical clustering with hclust And also louvain...
In GreshamLab/labtools: Useful Tools for the Gresham Lab

Do both hierarchical clustering with hclust And also louvain clustering with igraph

hclust.and.louvain(
  data,
  nearest.neighbors = 25,
  dist.method = "euclidean",
  hclust.method = "average",
  knn.graph = NULL,
  row.name = "Gene"
)

`data`	A matrix or dataframe to be clustered on rows
`nearest.neighbors`	The number of neighbors to keep for the knn.graph
`dist.method`	The distance method (see 'dist')
`hclust.method`	The hclust method (see 'hclust)
`knn.graph`	An igraph graph object which will be used instead of k-NN inverse distance for louvain clustering
`row.name`	The name used for rows in the louvain dataframe