Hierarchical classification is a system of grouping things according to a hierarchy.
In the field of
machine learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence.
Machine ...
, hierarchical classification is sometimes referred to as instance space decomposition,
which splits a complete
multi-class problem into a set of smaller classification problems.
See also
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Deductive classifier A deductive classifier is a type of artificial intelligence inference engine. It takes as input a set of declarations in a frame language about a domain such as medical research or molecular biology. For example, the names of classes, sub-classes, ...
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Cascading classifiers
Cascading is a particular case of ensemble learning based on the concatenation of several classifiers, using all information collected from the output from a given classifier as additional information for the next classifier in the cascade. Unl ...
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Faceted classification
A faceted classification is a classification scheme used in organizing knowledge into a systematic order. A faceted classification uses semantic categories, either general or subject-specific, that are combined to create the full classification ent ...
References
External links
Hierarchical Classification – a useful approach for predicting thousands of possible categories
Classification algorithms
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