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five-algrithms

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  • Update : 2012-11-26
  • Size : 346kb
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The most popular five algrithms applied in Data mining
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five algrithms\About.bmp
..............\Ada_Boost.m
..............\ADDC.m
..............\AGHC.m
..............\Backpropagation_Batch.m
..............\Backpropagation_CGD.m
..............\Backpropagation_Quickprop.m
..............\Backpropagation_Recurrent.m
..............\Backpropagation_SM.m
..............\Backpropagation_Stochastic.m
..............\Balanced_Winnow.m
..............\Bayesian_Model_Comparison.m
..............\Bhattacharyya.m
..............\BIMSEC.m
..............\C4_5.m
..............\calculate_error.m
..............\calculate_region.m
..............\CART.m
..............\CARTfunctions.m
..............\Cascade_Correlation.m
..............\Chernoff.m
..............\chess.mat
..............\Classification.txt
..............\classification_error.m
..............\classifier.m
..............\classifier.mat
..............\classifier_commands.m
..............\click_points.m
..............\clouds.mat
..............\Competitive_learning.m
..............\Components_without_DF.m
..............\Components_with_DF.m
..............\contents.m
..............\decision_region.m
..............\Deterministic_annealing.m
..............\Deterministic_Boltzmann.m
..............\Deterministic_SA.m
..............\Discrete_Bayes.m
..............\Discriminability.m
..............\DSLVQ.m
..............\EM.m
..............\enter_distributions.m
..............\enter_distributions.mat
..............\enter_distributions_commands.m
..............\feature_selection.m
..............\feature_selection.mat
..............\Feature_selection.txt
..............\feature_selection_commands.m
..............\FindParameters.m
..............\FindParameters.mat
..............\FindParametersFunctions.m
..............\find_classes.m
..............\FishersLinearDiscriminant.m
..............\fuzzy_k_means.m
..............\GaussianParameters.m
..............\GaussianParameters.mat
..............\generate_data_set.m
..............\Genetic_Algorithm.m
..............\Genetic_Culling.m
..............\Genetic_Programming.m
..............\Gibbs.m
..............\HDR.m
..............\high_histogram.m
..............\Ho_Kashyap.m
..............\ICA.m
..............\ID3.asv
..............\ID3.m
..............\index(1).htm
..............\index.htm
..............\Infomat.m
..............\Interactive_Learning.m
..............\Kohonen_SOFM.m
..............\Koller.m
..............\k_means.m
..............\Leader_Follower.m
..............\LMS.m
..............\load_file.m
..............\Local_Polynomial.m
..............\LocBoost.m
..............\LocBoostFunctions.m
..............\loglikelihood.m
..............\LS.m
..............\LVQ1.m
..............\LVQ3.m
..............\make_a_draw.m
..............\Marginalization.m
..............\MDS.m
..............\Minimum_Cost.m
..............\min_spanning_tree.m
..............\ML.m
..............\ML_diag.m
..............\ML_II.m
..............\multialgorithms.m
..............\multialgorithms.mat
..............\multialgorithms_commands.m
..............\Multivariate_Splines.m
..............\NDDF.m
..............\NearestNeighborEditing.m
..............\Nearest_Neighbor.m
..............\NLPCA.m
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