# Package org.apache.lucene.classification

Uses already seen data (the indexed documents) to classify an input ( can be simple text or a structured document).

See: Description

Interface Summary
Classifier<T>: A classifier, see `http://en.wikipedia.org/wiki/Classifier_(mathematics)`, which assign classes of type `T`

Class Summary
BM25NBClassifier: A classifier approximating naive bayes classifier by using pure queries on BM25.
BooleanPerceptronClassifier: A perceptron (see `http://en.wikipedia.org/wiki/Perceptron`) based `Boolean` `Classifier`.
CachingNaiveBayesClassifier: A simplistic Lucene based NaiveBayes classifier, with caching feature, see `http://en.wikipedia.org/wiki/Naive_Bayes_classifier`
ClassificationResult<T>: The result of a call to `Classifier.assignClass(String)` holding an assigned class of type `T` and a score.
KNearestFuzzyClassifier: A k-Nearest Neighbor classifier based on `NearestFuzzyQuery`.
KNearestNeighborClassifier: A k-Nearest Neighbor classifier (see `http://en.wikipedia.org/wiki/K-nearest_neighbors`) based on `MoreLikeThis`
SimpleNaiveBayesClassifier: A simplistic Lucene based NaiveBayes classifier, see `http://en.wikipedia.org/wiki/Naive_Bayes_classifier`

## Package org.apache.lucene.classification Description

Uses already seen data (the indexed documents) to classify an input ( can be simple text or a structured document). Currently contains a (simplistic) Naive Bayes classifier, a k-Nearest Neighbor classifier and a Perceptron based classifier.