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Published in:
2008 | OriginalPaper | Chapter
CHIC: Cohesive Hierarchical Implicative Classification
Author : Raphaël Couturier
Published in: Statistical Implicative Analysis
Publisher: Springer Berlin Heidelberg
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CHIC is a data analysis tool based on SIA. Its aim is to discover the more relevant implications between states of different variables. It proposes two different ways to organize these implications into systems: i) In the form of an oriented hierarchical tree and ii) as an implication graph. Besides, it also produces a (non oriented) similarity tree based on the likelihood of the links between states. The paper describes its main features and its usage.