Project: PyClustering

Version: 0.6.dev0

License: GNU General Public License

E-Mail: [email protected]

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Based on:

• Python >= 3.4 windows 64-bit
• Python >= 3.4 linux 64-bit
• C++ 11 (MVS, GCC compilers)

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Required following packages by pyclustering:

• scipy, matplotlib, numpy, PIL

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Index of packages for Windows:

• http://www.lfd.uci.edu/~gohlke/pythonlibs/

Index of packages for Linux:

• sudo apt-get install python3-numpy
• sudo apt-get install python3-scipy
• sudo apt-get install python3-matplotlib
• sudo apt-get install python3-pil

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What is implemented in the project.

Clustering algorithms (module pyclustering.cluster):

• BIRCH [Python]
• CLARANS [Python]
• CURE [Python, C++]
• DBSCAN [Python, C++]
• Agglomerative [Python, C++]
• HSyncNet [Python, C++]
• K-Means [Python, C++]
• K-Medians [Python]
• K-Medoids [Python]
• OPTICS [Python]
• ROCK [Python, C++]
• SyncNet [Python, C++]
• SyncSom [Python]
• X-Means [Python, C++]

Oscillatory networks and neural networks (module pyclustering.nnet):

• HHN (Oscillatory network based on Hodgkin-Huxley model) [Python]
• Hysteresis Oscillatory Network [Python]
• LEGION (Local Excitatory Global Inhibitory Oscillatory Network) [Python, C++]
• PCNN (Pulse-Coupled Neural Network) [Python, C++]
• SOM (Self-Organized Map) [Python, C++]
• Sync (Oscillatory network based on Kuramoto model) [Python, C++]
• SyncPR (Oscillatory network for pattern recognition) [Python, C++]

Graph Coloring Algorithms (module pyclustering.gcolor):

• DSatur [Python]
• Hysteresis [Python]
• Sync [Python]

Containers (module pyclustering.container):

• KD Tree [Python, C++]
• CF Tree [Python]

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In case of any questions or proposals related to the pyclustering please contact to [email protected].