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| * [[ALGLIB]] implements several hierarchical clustering algorithms (single-link, complete-link, Ward) in C++ and C# with O(n²) memory and O(n³) run time. | | * [[ALGLIB]] implements several hierarchical clustering algorithms (single-link, complete-link, Ward) in C++ and C# with O(n²) memory and O(n³) run time. |
− | | + | * [[ALGLIB]]在C++ 和 C# 上以O(n²) 的内存和O(n³)的运行时间实现了几个层次聚类算法(单链接,完整链接,均值)。 |
| * [[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. | | * [[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. |
− | | + | * [[ELKI]]包括多种层次聚类算法,各种链接策略,同时包括高效运行,<ref name="SLINK" /> CLINK<ref name="CLINK" /> 安德伯格算法,从树状图和其他各种[[聚类分析]]算法中进行灵活的聚类提取。 |
| * [[GNU Octave|Octave]], the [[GNU]] analog to [[MATLAB]] implements hierarchical clustering in function "linkage". | | * [[GNU Octave|Octave]], the [[GNU]] analog to [[MATLAB]] implements hierarchical clustering in function "linkage". |
− | | + | * [[GNU Octave|Octave]],与[[MATLAB]]类似的[[GNU]]在“联动”功能中实现了分层聚类。 |
| * [[Orange (software)|Orange]], a data mining software suite, includes hierarchical clustering with interactive dendrogram visualisation. | | * [[Orange (software)|Orange]], a data mining software suite, includes hierarchical clustering with interactive dendrogram visualisation. |
− | | + | * [[Orange (software)|Orange]],一个数据挖掘软件套件,包括层次聚类和交互式可视化树形图。 |
| * [[R (programming language)|R]] has many packages that provide functions for hierarchical clustering. | | * [[R (programming language)|R]] has many packages that provide functions for hierarchical clustering. |
− | | + | * [[R (programming language)|R]] 有许多提供分层聚类功能的工具包。 |
| * [[SciPy]] implements hierarchical clustering in Python, including the efficient SLINK algorithm. | | * [[SciPy]] implements hierarchical clustering in Python, including the efficient SLINK algorithm. |
− | | + | * [[SciPy]]在python中实现分层聚类,包括高效的slink算法。 |
| * [[scikit-learn]] also implements hierarchical clustering in Python. | | * [[scikit-learn]] also implements hierarchical clustering in Python. |
− | | + | * [[scikit-learn]]还实现了Python中的层次聚类。 |
| * [[Weka (machine learning)|Weka]] includes hierarchical cluster analysis. | | * [[Weka (machine learning)|Weka]] includes hierarchical cluster analysis. |
− | | + | * [[Weka (machine learning)|Weka]] 包括层次聚类分析。 |
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| === Commercial implementations 商业实践=== | | === Commercial implementations 商业实践=== |