登录
首页 » matlab » Classification_MatLab_Toolbox

Classification_MatLab_Toolbox

于 2007-09-13 发布 文件大小:617KB
0 293
下载积分: 1 下载次数: 58
我要下载

代码说明：

  模式分类的Matlab工具箱，各种实用算法(Pattern classification of the Matlab toolbox, various practical algorithm)

文件列表：

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
.............................\Optimal_Brain_Surgeon.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

  • SVM
    该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法(The kit includes two kinds of classification, two kinds of regression, and a one-class support vector machine algorithm (1) Main_SVC_C.m--- C_SVC II classification algorithm (2) Main_SVC_Nu.m--- Nu_SVC II classification algorithm (3) Main_SVM_One_Class.m--- One-Class Support Vector Machine (4) Main_SVR_Epsilon.m--- Epsilon_SVR regression algorithm (5) Main_SVR_Nu.m--- Nu_SVR regression algorithm)
    2011-07-28 17:15:18下载
    积分：1
  • yuandaima-di-3-zhang
    《MATLAB7.0编程基础》书中图形的源代码，这是第3章的集合，比较全面，很有用，是很好的参考。(Book graphics of " MATLAB7.0 Programming Fundamentals source code, which is a collection of Chapter 3, more comprehensive, useful, is a good reference.)
    2013-04-18 19:23:39下载
    积分：1
  • matlabsnake
    贪食蛇游戏的matlab实现，特别适用于matlab初学者，能很快的提高其matlab水平(Matlab games贪食蛇realize, especially for beginners in matlab that can quickly improve the level of its matlab)
    2008-05-22 07:38:41下载
    积分：1
  • puxianzengqiang
    谱线增强器的代码，里面包含最陡下降法的实现，是华中科技大学出版的现代数字信号处理课后题3.16的答案，对理解谱线增强器和最陡下降法的实现有很大帮助。(Line enhancer code, which contains the implementation of the steepest descent method, is published by the Huazhong University of Science after-school modern digital signal processing, the answer to question 3.16, to understand the line enhancer and the implementation of the steepest descent of great help .)
    2010-12-24 13:16:02下载
    积分：1
  • luolunzi
    说明：  洛伦兹方程的代码模拟程序和图像和一些文字说明。(Lorenz equations and image simulation program code and some text.)
    2011-03-29 18:41:48下载
    积分：1
  • MATLAB
    MATLAB命令大全 人民邮电出版社出版 每个命令都有实例，简单易学(MATLAB command the Daquan People s Post published have each command instance, easy to learn)
    2012-04-10 11:40:39下载
    积分：1
  • ebma
    数字视频技术的实验,关于穷尽块匹配算法的matlab程序及实验报告.(digital video technology experiments on the exhausted block matching algorithm and experimental procedures Matlab report.)
    2007-04-24 21:40:16下载
    积分：1
  • chapter29
    越来越多的学科已发展到不得不分析非线性情况的地步。而matlab却还没有非线性分析工具箱。(The increasing number of disciplines have been developed to the point of having to analyze the nonlinear case. Matlab still has no nonlinear analysis toolbox.)
    2013-03-11 20:01:00下载
    积分：1
  • myInterp
    线性插值，反映龙格现象，不同插值点数对比(Linear interpolation, reflecting the Runge phenomenon, comparison of different interpolation points)
    2011-10-20 13:01:34下载
    积分：1
  • Matlab-utility-one-hundred-cases-3
    matlab实用程序百例第三部分，包括上百个实用程序(matlab utility one hundred cases of the third part, including hundreds of utility)
    2012-11-05 22:54:55下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！