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JSM classification

JSM classification method, named after John Stuart Mill, is based on Formal Concept Analysis FCA.

- Input data for learning are given by sets of positive, negative and undetermined examples with respect to the goal attribute ("+","-")
- Positive and negative hypotheses are sets of attributes shared by positive (negative) examples that are not subsets of negative (positive) examples' descriptions
- The undetermined examples are classified by means of learned positive and negative hypotheses

For more information address to paper "Toxicology analysis by means of the JSM-method" ToxiJSM

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JSM method on binary contexts implemented in Python

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