Classifier (mathematics): Difference between revisions
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Classifiers are used in many practical applications, including optical character recognition, speech recognition and handwriting recognition, biometric identification and Internet [[se |
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Classifiers are used in many practical applications, including [[optical character recognition]], [[speech recognition]] and [[handwriting recognition]], [[biometric identification]] and Internet [[search engine]]s. |
Classifiers are used in many practical applications, including [[optical character recognition]], [[speech recognition]] and [[handwriting recognition]], [[biometric identification]] and Internet [[search engine]]s. |
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== See also == |
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* [[Viterbi algorithm]] |
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* [[Dynamic time warping]] |
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{{math-stub}} |
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[[Category:Pattern recognition]] |
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[[Category:Classifiers|*]] |
Revision as of 11:32, 7 March 2005
In mathematics, a classifier is a mapping from a (discrete or continuous) feature space X to a discrete set of labels Y.
Classifiers may either be fixed classifiers or learning classifiers, and learning classifiers may in turn be divided into supervised and unsupervised learning classifiers.
There are a number of different types of classifier technologies:
- Bayesian classifiers
- Support vector machines
- k-nearest neighbor classifiers
- neural network classifiers
- linear classifiers
- quadratic classifiers
Classifiers are used in many practical applications, including optical character recognition, speech recognition and handwriting recognition, biometric identification and Internet search engines.