登录
首页 » matlab » ClassificationMatLabToolbox

ClassificationMatLabToolbox

于 2007-09-12 发布 文件大小:622KB
0 250
下载积分: 1 下载次数: 41

代码说明:

  关于MATLAB分类的工具箱。 希望对你有所帮助!(MATLAB toolbox on the classification. I hope for your help!)

文件列表:

Classification MatLab Toolbox
.............................\Classification MatLab 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
.............................\.............................\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

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • ar
    说明:  一个用matlab实现的ARMA变换程序(a program of ARMA based on matlab)
    2009-09-09 09:00:18下载
    积分:1
  • Wiley__Practical_Genetic_Algorithms__2004__2Ed__O
    it is a book for learning practical genetic algorithm in matlab
    2013-07-09 17:04:32下载
    积分:1
  • ex3
    机器学习关于逻辑回归的应用以及附有matlab源代码(Machine learning logistic regression with Matlab source code)
    2013-05-13 10:19:12下载
    积分:1
  • MatLab
    车牌识别,很有用的啊。包括提取车牌和神经网络训练(License Plate Recognition, ah useful. Including the extraction plate and neural network training)
    2007-10-17 15:59:55下载
    积分:1
  • multigp-master
    高斯过程多输出,有很多的例子。包括回归、分类等(GPR multiple output)
    2020-09-01 22:28:08下载
    积分:1
  • DTCsystem
    这是针对永磁同步电机的矢量转矩控制的程序,经过验证,可以运行,也看作为参考。(This is a vector of permanent magnet synchronous motor torque control procedures, validated, you can run, but also watch as a reference.)
    2010-10-28 20:24:08下载
    积分:1
  • pipei
    手动图像匹配,并可以计算配准精度,MSE,有线性保角变换等。用于图像处理。(Manual image matching and registration accuracy can be calculated, MSE, a linear conformal transformation. For image processing.)
    2011-06-05 11:07:45下载
    积分:1
  • induction-motor-simplified-dynamic-model-pu-vecto
    induction motor simplified dynamic model pu vector control
    2012-09-22 04:33:33下载
    积分:1
  • Antisymmetric-part-of-the-Lame-wave
    Lame波反对称部分的基本模态的matlab 程序(Antisymmetric part of the Lame wave )
    2012-12-06 15:02:56下载
    积分:1
  • ppt
    关于MATLAB很基础,但是不错的一本电子书的PPT,适合初学者。(Very foundation, suitable for beginners. A good book.)
    2009-04-25 16:08:23下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载