登录
首页 » matlab » classification_matlab_toolbox

classification_matlab_toolbox

于 2005-04-18 发布 文件大小:1531KB
0 170
下载积分: 1 下载次数: 103

代码说明:

  classification_matlab_toolbox分类方法工具箱,有界面很直观。(classification_matlab_toolbox classification toolbox, a very intuitive interface.)

文件列表:

classification_matlab_toolbox_by cbir@smth
..........................................\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

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

  • source
    retrieve data from fig and export to excel
    2012-10-08 14:57:18下载
    积分:1
  • 2
    To support wireless communication : MIMO
    2013-12-24 21:50:25下载
    积分:1
  • Matlab_harmierdun
    本程序是用matlab写的,用来求最优哈密尔顿回路的算法(This procedure is written in matlab to seek optimal Hamilton circuit algorithm)
    2008-08-05 16:18:07下载
    积分:1
  • Color-segmentation-by-delta-e-color-difference-in
    The following Matlab project used for color segmentation by delta e color difference. Demo to perform very, very simple color detection in LAB color space.
    2014-11-30 11:47:47下载
    积分:1
  • Boost_DCmotor
    DC-DC Boost Converter fed DC motor
    2014-12-22 19:31:50下载
    积分:1
  • libelas
    Libelas(大规模高效立体匹配库)是cross-platfrom c++ 图书馆与MATLAB计算包装差异大的地图图像。输入 是一双纠正灰度立体图像的大小相同。输出相应的 差距的地图。(Libelas (LIBrary for Efficient LArge-scale Stereo matching) is a cross-platfrom C++ library with MATLAB wrappers for computing disparity maps of large images. Input is a rectified greyscale stereo image pair of same size. Output are the corresponding disparity maps.)
    2013-12-12 23:36:22下载
    积分:1
  • RoboticJoint
    Robotic Joint Forward Kinematics Inverse Kinematics
    2013-12-13 23:10:15下载
    积分:1
  • LMSmatlab
    关于lms的matlab仿真图,以及改进算法(Lms matlab simulation on the map, and the improved algorithm)
    2013-12-21 14:30:13下载
    积分:1
  • CISSP-Certified-Information-Systems-Security-Prof
    CISSP Certified Information Systems Security Professional Study Guide (Sybex, 3rd Ed)
    2014-01-18 22:26:10下载
    积分:1
  • Matlab-niulafa
    电力系统牛顿拉弗逊法求解电力系统潮流,计算准确,精度可调。(Laffer power system Newton Raphson method for solving power flow and accurate calculation accuracy adjustable.)
    2013-05-22 23:00:16下载
    积分:1
  • 696518资源总数
  • 106182会员总数
  • 24今日下载