Uses of Interface
hhreco.classification.TrainableClassifier

Packages that use TrainableClassifier
hhreco.classification This package provides data structures such as feature sets, training sets, as well as a classification framework for facilitating pattern classification tasks. 
hhreco.recognition Interfaces and core classes for doing multi-stroke symbol recognition. 
 

Uses of TrainableClassifier in hhreco.classification
 

Classes in hhreco.classification that implement TrainableClassifier
 class KNNClassifier
          This K-nearest neighbor classifier compares a test example with every example in the training set by computing the normalized Euclidean distance.
 class MMDClassifier
          Minimum distance classifier measures the normalized Euclidean distance between the test example and each of the training classes.
 class SVMClassifier
          This class uses libsvm, a SVM software library written in Java, to do SVM classification.
 

Uses of TrainableClassifier in hhreco.recognition
 

Constructors in hhreco.recognition with parameters of type TrainableClassifier
HHRecognizer(TrainableClassifier c)
          Create a recognizer that uses the default Zernike Moments feature extractor and the specified classifier.
HHRecognizer(FeatureExtractor[] extractors, TrainableClassifier c)
          Create a recognizer that uses the specified set of feature extractors and the classifier.