Introduction
FCA4J is a Java toolkit for formal concept analysis purposes
For RCA visualization, you can use RCAviz (http://rcaviz.lirmm.fr). FCA4J helps you to generate the JSON input file for RCAViz (command RCA)
You will find a simple introduction in Getting started and for commands Lattice, AocPoset, RuleBasis, Irreducible, Clarify, Reduce, Family .
Binaries
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Latest executable jar |
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Other |
Sources
Datasets
Usage
java -jar fca4j-cli.jar <command> <input> [<output>] [options]
available commands are:
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Help <command> |
print help to read more about a command by using Help on a command, you can obtain examples of usage, e.g. java -jar fca4j-cli.jar Help AOCPOSET |
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build a concept lattice. ADD_EXTENT algorithm builds the complete concept lattice. ICEBERG builds a lattice with only the top-most concepts of the concept lattice |
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build a sub-order of the concept lattice restricted to attribute-concepts and object-concepts |
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compute the canonical basis of implications (Duquenne-Guigues) |
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inspect formal context file and display information about size, density etc. |
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eliminate any duplicated objets (--xo option), attributes (--xa option) or both |
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reduce formal context to irreducibles (--xo option), attributes (--xa option) or both |
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list irreducible objets (-lobj option) or attributes (-lattr option). Use -u option to operate by class on unclarified context |
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transform multivalued data table to formal context |
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convert formal context file format |
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to create and manage relational context families (set of formal contexts and relations) |
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to create a conceptual structure family from a relational context family. The output is a JSON file that can be opened in RCAviz, a DOT file that contains the graph of the conceptual structure family at the end of the process,TXT files for tracing the size of structures at each step, and traces.csv that contains the formal and relational contexts and other settings used at each step. The input is a relational context family. |