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classifier

  • Category : DataMining
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  • Update : 2015-09-13
  • Size : 4.1mb
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  • Author :韩****
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A classification algorithm toolbox, face recognition, pattern recognition and classification algorithms useful
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classifier toolbox2
...................\aa.mat
...................\About.bmp
...................\adapMixDec.m
...................\Ada_Boost.m
...................\Ada_Boost_VC.m
...................\ADDC.m
...................\Algorithms.txt
...................\banana.mat
...................\buildClassifierSetup.m
...................\calculate_error.m
...................\calculate_region.m
...................\change
...................\change_class.m
...................\change_gaussian.m
...................\change_parameter.m
...................\classification_error.m
...................\classifier.m
...................\classifier.mat
...................\classifier.mat.bck
...................\classifierWrapper.m
...................\classifier_commands.m
...................\click_points.m
...................\clmsead.m
...................\clouds_data.mat
...................\clouds_params.mat
...................\clusang.m
...................\clusmse.m
...................\computeError.m
...................\consist.m
...................\construct_svm.m
...................\contents.m
...................\decision_region.m
...................\deterministic_annealing.m
...................\DifferentSetup.m
...................\done.txt
...................\DSLVQ.m
...................\EM.m
...................\EM_VC.m
...................\enter_distributions.m
...................\enter_distributions.mat
...................\exampleWeightFile
...................\find_classes.m
...................\Fishers_linear_discriminant.m
...................\FrameworkNames.mat
...................\fuzzy_k_means.m
...................\generate_data_set.m
...................\gmm.m
...................\gmmactiv.m
...................\gmmpost.m
...................\header.m
...................\iris.mat
...................\irisData.m
...................\kmeans.m
...................\Knn_Rule.m
...................\K_L_nn_Rule.m
...................\K_L_nn_Rule_VC.m
...................\k_means.m
...................\LicenseSVM.txt
...................\load_file.m
...................\Local_Polynomial.m
...................\Local_Polynomial_VC.m
...................\LocBoost.m
...................\LocBoostFunctions.m
...................\LocBoost_VC.m
...................\loglikelihood.m
...................\longest_run.m
...................\LS.m
...................\LS_VC.m
...................\LS_VCcore.m
...................\LVQ1.m
...................\LVQ1_VC.m
...................\LVQ3.m
...................\LVQ3_VC.m
...................\make_a_draw.m
...................\MethodNotImplemented.m
...................\mgmmem.m
...................\mixture_data.mat
...................\mixture_params.mat
...................\ML.m
...................\ML_diag.m
...................\ML_diag_VC.m
...................\ML_VC.m
...................\MoveAlgorithm.m
...................\multialgorithms.m
...................\multialgorithms.mat
...................\MyPerceptron.m
...................\Nearest_Neighbor.m
...................\Nearest_Neighbor_VC.m
...................\new_start_classify.m
...................\None.m
...................\normalize.m
...................\Parzen.m
...................\Parzen_VC.m
...................\PCA.m
...................\Perceptron.m
...................\Perceptron_VC.m
...................\Perceptron_VCcore.m
...................\plot_process.m
...................\plot_scatter.m
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