Information Weighted Sparse Sample (IWSS) distance is able to calculate distances between samples which are encoded by binary features with missing data. IWSS has been designed by Juan Manuel Pedraza Leal and implemented by Buys de Barbanson
The prerequisites are Python 3.6 or higher, pandas and numpy
git clone https://github.com/BuysDB/IWSS
pip3 install -e ./IWSS