GSimPy: A Python package for measuring group similarity
Yifei Zhang,
Jia Cao
Affiliations
Yifei Zhang
School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China; Engineering Research Center for Forestry-oriented Intelligent Information Processing, National Forestry and Grassland Administration, Beijing 100083, China
Jia Cao
School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China; Engineering Research Center for Forestry-oriented Intelligent Information Processing, National Forestry and Grassland Administration, Beijing 100083, China; Corresponding author.
In this paper, we present an open source Python package—GSimPy, which can measure similarity between items and groups that satisfy GIE model. GIE model is a Group–Item–Element model commonly used in many fields such as biology. GSimPy can help manage scientists’ customized data and provide a random model as a reference to evaluate similarity results. Visualization tools are also supported to make analysis results more interpretable.
