Editing Hierarchical clustering (section)

== Software ==

=== Open source implementations ===

[[File:Iris dendrogram.png|thumb|Hierarchical clustering [[dendrogram]] of the [[Iris flower data set|Iris dataset]] (using [[R (programming language)|R]]). [https://cran.r-project.org/web/packages/dendextend/vignettes/Cluster_Analysis.html Source] ]]

[[File:Orange-data-mining-hierarchical-clustering.png|thumb|Hierarchical clustering and interactive dendrogram visualization in [[Orange (software)|Orange data mining suite]].]]

* [[ALGLIB]] implements several hierarchical clustering algorithms (single-link, complete-link, Ward) in C++ and C# with O(n²) memory and O(n³) run time.
* [[ELKI]] includes multiple hierarchical clustering algorithms, various linkage strategies and also includes the efficient SLINK,<ref name="SLINK" /> CLINK<ref name="CLINK" /> and Anderberg algorithms, flexible cluster extraction from dendrograms and various other [[cluster analysis]] algorithms.
* [[Julia (programming language)|Julia]] has an implementation inside the Clustering.jl package.<ref>{{Cite web |title=Hierarchical Clustering · Clustering.jl |url=https://juliastats.org/Clustering.jl/stable/hclust.html |access-date=2022-02-28 |website=juliastats.org |language=en}}</ref>
* [[GNU Octave|Octave]], the [[GNU]] analog to [[MATLAB]] implements hierarchical clustering in function "linkage".
* [[Orange (software)|Orange]], a data mining software suite, includes hierarchical clustering with interactive dendrogram visualisation.
* [[R (programming language)|R]] has built-in functions<ref>{{Cite web |title=hclust function - RDocumentation |url=https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/hclust |access-date=2022-06-07 |website=www.rdocumentation.org |language=en}}</ref> and packages that provide functions for hierarchical clustering.<ref>{{Citation |last1=Galili |first1=Tal |title=dendextend: Extending 'dendrogram' Functionality in R|date=2021-10-28 |url=https://cran.r-project.org/package=dendextend |access-date=2022-06-07 |last2=Benjamini |first2=Yoav |last3=Simpson |first3=Gavin |last4=Jefferis |first4=Gregory}}</ref><ref>{{Cite web|last1=Paradis|first1=Emmanuel|display-authors=etal |title=ape: Analyses of Phylogenetics and Evolution|url=https://cran.r-project.org/web/packages/ape/index.html|access-date=2022-12-28}}</ref><ref>{{Cite web|last1=Fernández|first1=Alberto|last2=Gómez|first2=Sergio|date=2021-09-12|title=mdendro: Extended Agglomerative Hierarchical Clustering|url=https://sergio-gomez.github.io/mdendro/|access-date=2022-12-28}}</ref>
* [[SciPy]] implements hierarchical clustering in Python, including the efficient SLINK algorithm.
* [[scikit-learn]] also implements hierarchical clustering in Python.
* [[Weka (machine learning)|Weka]] includes hierarchical cluster analysis.

=== Commercial implementations ===
* [[MathWorks|MATLAB]] includes hierarchical cluster analysis.
* [[SAS System|SAS]] includes hierarchical cluster analysis in PROC CLUSTER.
* [[Mathematica]] includes a Hierarchical Clustering Package.
* [[NCSS (statistical software)|NCSS]] includes hierarchical cluster analysis.
* [[SPSS]] includes hierarchical cluster analysis.
* [[Qlucore]] Omics Explorer includes hierarchical cluster analysis.
* [[Stata]] includes hierarchical cluster analysis.
* [[CrimeStat]] includes a nearest neighbor hierarchical cluster algorithm with a graphical output for a Geographic Information System.