This plugin aChor was designed only for polygon shapefile dataset
  You may download a test dataset here:https://goo.gl/8ixjNn

Your default aChor plugin directory is located at:
  Windows QGIS2:C:/Users/user_name/.qgis2/python/plugins/aChor
  Linux QGIS2:/home/user_name/.qgis2/python/plugins/aChor
  Windows QGIS3:C:/OSGeo4W/apps/qgis/python/plugins/aChor
  Linux QGIS3:/home/user_name/.local/share/QGIS/QGIS3/profiles/default/python/plugins/aChor

Before you deploy the plugin:

• This plugin using fiona, shapely and Rtree libraries.
• Rtree must be version 0.8.3 or above.
• To install python packages, please using pip or easy_install in OSGEO4W shell.
• Linux: sudo wget http://ftp.de.debian.org/debian/pool/main/p/python-rtree/python-rtree_0.8.3+ds-1_all.deb
              sudo apt install /filedir/python-rtree_0.8.3+ds-1_all.deb
• Windows: python -m pip install Rtree-0.8.3-cp36-cp36m-win_amd64.whl
• For windows python packages, you may download them here:http://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona
• Check if libraries successfully installed, open the OSGEO4W shell and try to import them.
• C:\> python
  >>> import rtree
  >>> import fiona
  >>> import shapely

Notes:

1. GitHub for bug report and tracking: https://github.com/Ariel505/aChor/issues/
2. You can also run the classification from OSGeo4W command shell.
   Usage: python class_achor.py [class_num] [sweep_interval] [field_name] [shapefile] [method]
   Method: 1: Localextremes (max and min) 2: Localmax 3: Localmin
   for example: python class_achor.py 10 0.2 SUMME Hamburg.shp 1

For more information on aChor project, please visit aChor project website for further information.