Package org.apache.lucene.classification

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.

Interface Summary

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

Class Summary

Class	Description
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