hdbscan_: Conveinience function to perform HDBSCAN via reticulate.
In jenzopr/singlecellutils: Utility functions for single-cell data

Description Usage Arguments Value

Performs HDBSCAN clustering on a n-dimensional matrix. The algorithm is explained in detail in http://joss.theoj.org/papers/10.21105/joss.00205 and needs the python package hdbscan installed.

1 2	hdbscan_(embedding, min_samples = 7L, min_cluster_size = 9L, outlier = 0, seed = NULL)

`embedding`	A matrix giving the embedding to be used for clustering.
`min_samples`	Measure of how conservative the clustering should to be. The larger the value of `min_samples`, the more conservative the clustering and more points will be declared as noise, and clusters will be restricted to progressively more dense areas.
`min_cluster_size`	The smallest size grouping that is considered a cluster.
`outlier`	Determines how outliers are encoded in the resulting clustering.
`seed`	A numeric seed to initialize the random number generator.