Scellpam: an R package/C++ library to perform parallel partitioning around medoids on scRNAseq data sets.

ABSTRACT:

Background

Partitioning around medoids (PAM) is one of the most widely used and successful clustering method in many fields. One of its key advantages is that it only requires a distance or a dissimilarity between the individuals, and the fact that cluster centers are actual points in the data set means they can be taken as reliable representatives of their classes. However, its wider application is hampered by the large amount of memory needed to store the distance matrix (quadratic on the number of individuals) and also by the high computational cost of computing such distance matrix and, less importantly, by the cost of the clustering algorithm itself.

Results

Therefore, new software has been provided that addresses these issues. This software, provided under GPL license

SUBMITTER: Domingo J 

PROVIDER: S-EPMC10503022 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature