Skip to main content

No project description provided

Project description

# somap_py | A Self Organizing Map Utility Implements a Self Organizing Map algorithm based on the [R Kohonen SOM](https://cran.r-project.org/web/packages/kohonen/kohonen.pdf) in Python.

## Run the Self Organizing Map The SOM can be run by calling the graphical user interface script (GUI):

>> python som_selector_gui.py

The SOM can also be run from a python script :

  • Examples/SOM-Driver-Example.py
    • A simple example of how to make calls to run an SOM in a script

## Requirements for Windows * Python 3+ * Numpy * Scipy * Matplotlib * Pandas * PyQt4 * Rtree * Scikit-Learn * Scikit-Image

If developing on Windows and unample to >> pip install package , pre-built solutions can be found at (https://www.lfd.uci.edu/~gohlke/pythonlibs/) where links can be downloaded from that site, making sure you select the correct download depending on your version of Python. These downloads are pre-compiled and made for easy Windows install. Once downloaded they can be installed from a command line like follows:

>> pip install GDAl-2.3.2-cp37-cp37m-win_amd64.whl If you don’t have __pip__ it will give you a message and tell you how to get it.

Project details


Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for somap-py, version 0.1.0
Filename, size File type Python version Upload date Hashes
Filename, size somap_py-0.1.0-py3-none-any.whl (15.4 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size somap_py-0.1.0.tar.gz (15.0 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page