文件名称:classfication_toolbox

介绍说明--下载内容均来自于网络,请自行研究使用

这个文本分类工具箱给出了有监督和无监督的文本分类算法清单。

这些算法为实验和合成数据提供了设计分类方法。-The text classification toolbox has given supervision and unsupervised text classification algorithm list. These algorithms for the experimental and synthetic data classification method provides a design.
(系统自动生成,下载前可以参看下载内容)

下载文件列表

Classification_toolbox



......................\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

......................\four_spiral.mat

......................\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.m

......................\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

......................\None.m

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