Classifier (mathematics): Difference between revisions
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In [[mathematics]], a '''classifier''' is a [[map (mathematics)|mapping]] from a (discrete or continuous) [[feature space]] ''X'' to a discrete set of labels ''Y''. |
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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. |
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The applications of classifiers are wide-ranging. 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. |
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An example is a classifier that 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. |
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For a list of classifier applications and classifier technologies, please see [[statistical classification]]. |
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==See also== |
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* [[Artificial intelligence]] |
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* [[Artificial neural network]] |
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* [[Linear classifier]] |
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* [[Machine learning]] |
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* [[Pattern recognition]] |
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* [[Perceptron]] |
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* [[Support Vector Machine]] |
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[[Category:Classification algorithms|*]] |
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[[vi:Phân loại (toán học)]] |
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Latest revision as of 03:17, 24 December 2020
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