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genieclust
View on CRAN: Click
here
Download and install genieclust package within the R console
Install from CRAN:
install.packages("genieclust")
Install from Github:
library("remotes")
install_github("cran/genieclust")
Install by package version:
library("remotes")
install_version("genieclust", "1.1.6")
Attach the package and use:
library("genieclust")
Maintained by
Marek Gagolewski
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.genieclust . https://github.com/gagolews/genieclust/issues . https://genieclust.gagolewski.com/ . https://github.com/gagolews/genieclust . genieclust citation info . genieclust results . genieclust.pdf . genieclust_1.1.6.tar.gz . genieclust_1.1.6.zip . genieclust_1.1.6.zip . genieclust_1.1.6.zip . genieclust_1.1.6.tgz . genieclust_1.1.6.tgz . genieclust_1.1.6.tgz . genieclust_1.1.6.tgz . genieclust_1.1.6.tgz . genieclust_1.1.6.tgz . genieclust archive . https://CRAN.R-project.org/package=genieclust .
First Published: 2020-07-30
Latest Update: 2023-10-18
Description:
A retake on the Genie algorithm
(Gagolewski, 2021 ) - a robust
hierarchical clustering method
(Gagolewski, Bartoszuk, Cena, 2016 ).
Now faster and more memory efficient; determining the whole hierarchy
for datasets of 10M points in low dimensional Euclidean spaces or
100K points in high-dimensional ones takes only 1-2 minutes.
Allows clustering with respect to mutual reachability distances
so that it can act as a noise point detector or a robustified version of
'HDBSCAN*' (that is able to detect a predefined number of
clusters and hence it does not dependent on the somewhat
fragile 'eps' parameter).
The package also features an implementation of inequality indices
(the Gini, Bonferroni index), external cluster validity measures
(e.g., the normalised clustering accuracy and partition similarity scores
such as the adjusted Rand, Fowlkes-Mallows, adjusted mutual information,
and the pair sets index),
and internal cluster validity indices (e.g., the Calinski-Harabasz,
Davies-Bouldin, Ball-Hall, Silhouette, and generalised Dunn indices).
See also the 'Python' version of 'genieclust' available on 'PyPI', which
supports sparse data, more metrics, and even larger datasets.
How to cite:
Marek Gagolewski (2020). genieclust: Fast and Robust Hierarchical Clustering with Noise Points Detection. R package version 1.1.6, https://cran.r-project.org/web/packages/genieclust. Accessed 04 Apr. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for genieclust
Functions, R codes and Examples using
the genieclust R package
Some associated functions: cluster_validity . compare_partitions . emst_mlpack . gclust . genieclust-package . inequality . mst .
Some associated R codes: RcppExports.R . gclust.R . genieclust-package.R . mst.R . Full genieclust package functions and examples
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