登录
首页 » matlab » MATLAB_Codes_for_Competitive_Learning_Algorithms

MATLAB_Codes_for_Competitive_Learning_Algorithms

于 2007-10-08 发布 文件大小:458KB
0 93
下载积分: 1 下载次数: 183

代码说明:

  竞争学习的matlab工具箱,其中包含som网络,rpcl聚类等(Competitive learning matlab toolbox, which contains som network, rpcl clustering, etc.)

文件列表:

MATLAB Codes for Competitive Learning Algorithms
................................................\dataset1.dat
................................................\fscl.m
................................................\gnp.m
................................................\grbf.m
................................................\krbf.m
................................................\lard.m
................................................\larw.m
................................................\llm.m
................................................\ng.m
................................................\rpcl.m
................................................\rsom.m
................................................\skmeans.m
................................................\som.m
................................................\somtoolbox
................................................\..........\cca.m
................................................\..........\Contents.m
................................................\..........\Copyright.txt
................................................\..........\db_index.m
................................................\..........\hits.m
................................................\..........\iris.data
................................................\..........\kmeans_clusters.m
................................................\..........\knn.m
................................................\..........\knn_old.m
................................................\..........\License.txt
................................................\..........\lvq1.m
................................................\..........\lvq3.m
................................................\..........\nanstats.m
................................................\..........\neural_gas.m
................................................\..........\pcaproj.m
................................................\..........\preprocess.m
................................................\..........\rep_utils.m
................................................\..........\sammon.m
................................................\..........\sompak_gui.m
................................................\..........\sompak_init.m
................................................\..........\sompak_init_gui.m
................................................\..........\sompak_rb_control.m
................................................\..........\sompak_sammon.m
................................................\..........\sompak_sammon_gui.m
................................................\..........\sompak_train.m
................................................\..........\sompak_train_gui.m
................................................\..........\somtoolbox.m
................................................\..........\som_autolabel.m
................................................\..........\som_barplane.m
................................................\..........\som_batchtrain.m
................................................\..........\som_bmucolor.m
................................................\..........\som_bmus.m
................................................\..........\som_cldist.m
................................................\..........\som_clget.m
................................................\..........\som_cllinkage.m
................................................\..........\som_clplot.m
................................................\..........\som_clset.m
................................................\..........\som_clspread.m
................................................\..........\som_clstruct.m
................................................\..........\som_clustercolor.m
................................................\..........\som_cod2ind.m
................................................\..........\som_colorcode.m
................................................\..........\som_coloring.m
................................................\..........\som_connection.m
................................................\..........\som_cplane.m
................................................\..........\som_data_struct.m
................................................\..........\som_demo1.m
................................................\..........\som_demo2.m
................................................\..........\som_demo3.m
................................................\..........\som_demo4.m
................................................\..........\som_dendrogram.m
................................................\..........\som_denormalize.m
................................................\..........\som_distortion.m
................................................\..........\som_distortion3.m
................................................\..........\som_divide.m
................................................\..........\som_dmat.m
................................................\..........\som_dmatclusters.m
................................................\..........\som_dmatminima.m
................................................\..........\som_dreval.m
................................................\..........\som_drmake.m
................................................\..........\som_drsignif.m
................................................\..........\som_estimate_gmm.m
................................................\..........\som_eucdist2.m
................................................\..........\som_fillnans.m
................................................\..........\som_fuzzycolor.m
................................................\..........\som_gapindex.m
................................................\..........\som_grid.m
................................................\..........\som_gui.m
................................................\..........\som_hits.m
................................................\..........\som_ind2cod.m
................................................\..........\som_ind2sub.m
................................................\..........\som_info.m
................................................\..........\som_kmeans.m
................................................\..........\som_kmeanscolor.m
................................................\..........\som_kmeanscolor2.m
................................................\..........\som_label.m
................................................\..........\som_label2num.m
................................................\..........\som_lininit.m
................................................\..........\som_linkage.m
................................................\..........\som_make.m
................................................\..........\som_map_struct.m
................................................\..........\som_mdist.m
................................................\..........\som_modify_dataset.m
................................................\..........\som_neighborhood.m
................................................\..........\som_neighbors.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

  • natural
    natural backpropagation
    2009-03-27 06:51:25下载
    积分:1
  • intro2mc
    说明:  蒙特卡洛入门教程,感兴趣的朋友可以下啊。(Monte Carlo Tutorial)
    2010-05-01 18:23:26下载
    积分:1
  • io
    说明:  ort = IO(x,imf) computes the index of orthogonality
    2021-03-02 15:29:35下载
    积分:1
  • CACC-and-CAIM
    CACC和CAIM_算法函数库,MATLAB版本(CACC and CAIM_)
    2011-06-16 09:30:58下载
    积分:1
  • TSVD_DownContinuation
    位场向下延拓的泰勒级数方法,利用拉普拉斯方程的特点,计算空间域水平二阶差分来替代垂直方向上的二阶差分(Potential field downward continuation of Taylor series method, the advantage of the characteristics of Laplace equation, a second order differential spatial domain levels instead of second order difference vertically)
    2017-03-18 17:40:50下载
    积分:1
  • AnalogModulation
    说明:  仿真模拟信号,并提取瞬时信息的算法,通过实践可以哦(Simulation signals, and extract the instantaneous information algorithm, through practice you can Oh)
    2011-02-25 20:53:37下载
    积分:1
  • LPF-matlab
    low pass filter design using matlab
    2012-04-25 23:28:23下载
    积分:1
  • Lillieforetest
    Lilliefore test matlab代码(matlab code for Lilliefore test)
    2014-12-16 21:52:16下载
    积分:1
  • Eagle
    Arduino ECG sheild (sparkfun SHIELD-EKG-EMG_Rev_B builtin)
    2013-11-29 08:00:35下载
    积分:1
  • neurospiketrain
    Neuron system spike train
    2009-10-23 00:03:51下载
    积分:1
  • 696524资源总数
  • 103920会员总数
  • 65今日下载