GSimPy: A Python package for measuring group similarity | Zendy

Yifei Zhang | Zendy; Jia Cao | Zendy

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GSimPy: A Python package for measuring group similarity

Author(s) -

Yifei Zhang,

Jia Cao

Publication year - 2020

Publication title -

softwarex

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 21

ISSN - 2352-7110

DOI - 10.1016/j.softx.2020.100526

Subject(s) - python (programming language) , computer science , visualization , open source , similarity (geometry) , similarity measure , information retrieval , data mining , programming language , artificial intelligence , software , image (mathematics)

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.

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