person("Daniel", "Müllner", email =
"daniel@danifold.net", role = c("aut", "cph", "cre"))
This is a two-in-one package which provides interfaces to
both R and Python. It implements fast hierarchical, agglomerative
clustering routines. Part of the functionality is designed as drop-in
replacement for existing routines: “linkage” in the SciPy package
“scipy.cluster.hierarchy”, “hclust” in R's “stats” package, and the
“flashClust” package. It provides the same functionality with the
benefit of a much faster implementation. Moreover, there are
memory-saving routines for clustering of vector data, which go beyond
what the existing packages provide. For information on how to install
the Python files, see the file INSTALL in the source distribution.

Fast Hierarchical Clustering Routines for R and Python

person("Daniel", "Müllner", email = "daniel@danifold.net", role = c("aut", "cph", "cre"))
This is a two-in-one package which provides interfaces to
both R and Python. It implements fast hierarchical, agglomerative
clustering routines. Part of the functionality is designed as drop-in
replacement for existing routines: "linkage" in the SciPy package
"scipy.cluster.hierarchy", "hclust" in R's "stats" package, and the
"flashClust" package. It provides the same functionality with the
benefit of a much faster implementation. Moreover, there are
memory-saving routines for clustering of vector data, which go beyond
what the existing packages provide. For information on how to install
the Python files, see the file INSTALL in the source distribution.

This is a two-in-one package which provides interfaces to
both R and Python. It implements fast hierarchical, agglomerative
clustering routines. Part of the functionality is designed as drop-in
replacement for existing routines: linkage() in the SciPy package
'scipy.cluster.hierarchy', hclust() in R's 'stats' package, and the
'flashClust' package. It provides the same functionality with the
benefit of a much faster implementation. Moreover, there are
memory-saving routines for clustering of vector data, which go beyond
what the existing packages provide. For information on how to install
the Python files, see the file INSTALL in the source distribution.