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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. |
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HHRecognizer(FeatureExtractor[] extractors,
TrainableClassifier c)
Create a recognizer that uses the specified set of feature extractors and the classifier. |
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