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#REDIRECT [[Statistical classification]] classifier
In [[mathematics]], a '''classifier''' is a [[map (mathematics)|mapping]] from a (discrete or continuous) [[feature space]] ''X'' to a discrete set of labels ''Y''.

Classifiers have practical applications in many branches of science and society. Built using a variety of mathematical techniques,
classifiers viewed from afar can be seen as [[decision making|decision]] systems which accept values of some features or characteristics of
a situation as input and produce as an output a discrete label related to the input values.

An example might be a classifier which accepts a persons salary details, age, marital status, home address and credit history and
classifies the person as acceptable/unacceptable to receive a new credit card or loan.

The application of classifiers is wideranging and often unseen. They find use in medicine (drug trial analysis, [[MRI]] [[data analysis]]), finance (share analysis, index [[prediction]]), mobile phones ([[signal decoding]], [[error correction]]), [[computer vision]] ([[face recognition]], [[video tracking|target tracking]]), [[voice recognition]], [[datamining]] (supermarket purchasing analysis, retail customer analysis) and uncountable other areas.

Classifiers may either be fixed classifiers or [[statistical classification|learning classifiers]], and learning classifiers may in turn be divided into [[supervised learning|supervised]] and [[unsupervised learning]] classifiers.

For a list of classifier applications and classifier technologies, please see [[statistical classification]].

==External Links==
[http://www.patternrecognition.co.za/sourcecode.html Classifier Source Code and Tutorials]

==See also==

* [[Artificial intelligence]]
* [[Artificial neural network]]
* [[Linear classifier]]
* [[Machine learning]]
* [[Pattern recognition]]
* [[Perceptron]]
* [[Support Vector Machine]]

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[[Category:Classification algorithms|*]]


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Latest revision as of 03:17, 24 December 2020

classifier