hopach
Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)
Bioconductor version: 3.23 · Package version: 2.72.0
The HOPACH clustering algorithm builds a hierarchical tree of clusters by recursively partitioning a data set, while ordering and possibly collapsing clusters at each level. The algorithm uses the Mean/Median Split Silhouette (MSS) criteria to identify the level of the tree with maximally homogeneous clusters. It also runs the tree down to produce a final ordered list of the elements. The non-parametric bootstrap allows one to estimate the probability that each element belongs to each cluster (fuzzy clustering).
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("hopach") Details
| Maintainer | Katherine S. Pollard <katherine.pollard@gladstone.ucsf.edu> |
| Author | Katherine S. Pollard, with Mark J. van der Laan <laan@stat.berkeley.edu> and Greg Wall |
| License | GPL (>= 2) |
| URL | http://www.stat.berkeley.edu/~laan/, http://docpollard.org/ |
| Downloads rank | 953 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | hopach_2.72.0.tar.gz |
| Windows binary (x86_64) | hopach_2.72.0.zip |
| macOS binary (arm64) | hopach_2.72.0.tgz |
| macOS binary (x86_64) | hopach_2.72.0.tgz |
Dependencies
Depends: R (>= 2.11.0), cluster, Biobase, methods
Imports: graphics, grDevices, stats, utils, BiocGenerics
Reverse dependencies
Imports Me (3): phenoTest, scClassify, treekoR
Suggests Me (1): MicrobiotaProcess