Theory[edit | edit source]

wikipedia:Hierarchical clustering

• 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.
• Octave, the GNU analog to MATLAB implements hierarchical clustering in function "linkage".
• Orange, a data mining software suite, includes hierarchical clustering with interactive dendrogram visualisation.
• R has many packages that provide functions for hierarchical clustering.
• SCaViS computing environment in Java that implements this algorithm.
• SciPy implements hierarchical clustering in Python, including the efficient SLINK algorithm.
• scikit-learn also implements hierarchical clustering in Python.
• Weka includes hierarchical cluster analysis.

wikiru:Иерархическая кластеризация

• tzolotuhin/visual-graph is poor

some libraries[edit | edit source]

• Zoomable network graph in AngularJS

http://anvaka.github.io/graph-drawing-libraries/#/all

MediaWiki[edit | edit source]

Extension:3DAlloy ... MediaWiki extension which allows to add 3D models viewer to site pages. Based on THREE.js

Semantic MediaWiki[edit | edit source]

mw:Extension:Semantic_MediaWiki_Graph uses Force directed Graph from d3 to visualize the semantic information in a two-dimensional space.

on SVG[edit | edit source]

highcharts[edit | edit source]

• http://www.highcharts.com/demo/ - and maps
  • free only for non-commercial

some interactive[edit | edit source]

• https://developers.google.com/chart/interactive/docs/gallery

on Java[edit | edit source]

https://www.tensorflow.org/[edit | edit source]

TensorFlow is an open-source machine learning library for research and production. TensorFlow offers APIs for beginners and experts to develop for desktop, mobile, web, and cloud.

TensorBoard: Graph Visualization TensorFlow computation graphs are powerful but complicated. The graph visualization can help you understand and debug them.