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2019_03_03_BCT

于 2020-11-09 发布
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代码说明：

说明：  基于matlab提取诸如聚类系数、路径长度等图论指标。(Graph theory index extraction such as clustering coefficient)

文件列表：

2019_03_03_BCT\adjacency_plot_und.m, 1538 , 2019-03-03
2019_03_03_BCT\agreement.m, 1691 , 2019-03-03
2019_03_03_BCT\agreement_weighted.m, 1020 , 2019-03-03
2019_03_03_BCT\align_matrices.m, 4848 , 2019-03-03
2019_03_03_BCT\assortativity_bin.m, 2211 , 2019-03-03
2019_03_03_BCT\assortativity_wei.m, 2175 , 2019-03-03
2019_03_03_BCT\backbone_wu.m, 2203 , 2019-03-03
2019_03_03_BCT\betweenness_bin.m, 1812 , 2019-03-03
2019_03_03_BCT\betweenness_wei.m, 2928 , 2019-03-03
2019_03_03_BCT\breadth.m, 1773 , 2019-03-03
2019_03_03_BCT\breadthdist.m, 1052 , 2019-03-03
2019_03_03_BCT\charpath.m, 3190 , 2019-03-03
2019_03_03_BCT\clique_communities.m, 3237 , 2019-03-03
2019_03_03_BCT\clustering_coef_bd.m, 1445 , 2019-03-03
2019_03_03_BCT\clustering_coef_bu.m, 707 , 2019-03-03
2019_03_03_BCT\clustering_coef_wd.m, 1598 , 2019-03-03
2019_03_03_BCT\clustering_coef_wu.m, 1015 , 2019-03-03
2019_03_03_BCT\clustering_coef_wu_sign.m, 5775 , 2019-03-03
2019_03_03_BCT\community_louvain.m, 7785 , 2019-03-03
2019_03_03_BCT\consensus_und.m, 3138 , 2019-03-03
2019_03_03_BCT\core_periphery_dir.m, 3467 , 2019-03-03
2019_03_03_BCT\cycprob.m, 1557 , 2019-03-03
2019_03_03_BCT\data_and_demos\cat.mat, 2453 , 2019-03-03
2019_03_03_BCT\data_and_demos\Coactivation_matrix.mat, 350652 , 2019-03-03
2019_03_03_BCT\data_and_demos\demo_efficiency_measures.m, 3788 , 2019-03-03
2019_03_03_BCT\data_and_demos\demo_efficiency_measures_data.mat, 9129 , 2019-03-03
2019_03_03_BCT\data_and_demos\demo_generative_models_data.mat, 87023 , 2019-03-03
2019_03_03_BCT\data_and_demos\demo_generative_models_geometric.m, 1179 , 2019-03-03
2019_03_03_BCT\data_and_demos\demo_generative_models_neighbors.m, 1239 , 2019-03-03
2019_03_03_BCT\data_and_demos\fve30.mat, 480 , 2019-03-03
2019_03_03_BCT\data_and_demos\fve32.mat, 492 , 2019-03-03
2019_03_03_BCT\data_and_demos\GroupAverage_rsfMRI_matrix.mat, 361062 , 2019-03-03
2019_03_03_BCT\data_and_demos\macaque47.mat, 682 , 2019-03-03
2019_03_03_BCT\data_and_demos\macaque71.mat, 929 , 2019-03-03
2019_03_03_BCT\data_and_demos\motif34lib.mat, 20654 , 2019-03-03
2019_03_03_BCT\degrees_dir.m, 892 , 2019-03-03
2019_03_03_BCT\degrees_und.m, 435 , 2019-03-03
2019_03_03_BCT\density_dir.m, 619 , 2019-03-03
2019_03_03_BCT\density_und.m, 726 , 2019-03-03
2019_03_03_BCT\diffusion_efficiency.m, 1130 , 2019-03-03
2019_03_03_BCT\distance_bin.m, 1299 , 2019-03-03
2019_03_03_BCT\distance_wei.m, 2985 , 2019-03-03
2019_03_03_BCT\distance_wei_floyd.m, 3557 , 2019-03-03
2019_03_03_BCT\diversity_coef_sign.m, 1636 , 2019-03-03
2019_03_03_BCT\edge_betweenness_bin.m, 2317 , 2019-03-03
2019_03_03_BCT\edge_betweenness_wei.m, 3167 , 2019-03-03
2019_03_03_BCT\edge_nei_overlap_bd.m, 1752 , 2019-03-03
2019_03_03_BCT\edge_nei_overlap_bu.m, 1650 , 2019-03-03
2019_03_03_BCT\efficiency_bin.m, 2776 , 2019-03-03
2019_03_03_BCT\efficiency_wei.m, 6168 , 2019-03-03
2019_03_03_BCT\eigenvector_centrality_und.m, 1263 , 2019-03-03
2019_03_03_BCT\erange.m, 1404 , 2019-03-03
2019_03_03_BCT\evaluate_generative_model.m, 3632 , 2019-03-03
2019_03_03_BCT\findpaths.m, 5620 , 2019-03-03
2019_03_03_BCT\findwalks.m, 1090 , 2019-03-03
2019_03_03_BCT\find_motif34.m, 1471 , 2019-03-03
2019_03_03_BCT\flow_coef_bd.m, 1611 , 2019-03-03
2019_03_03_BCT\gateway_coef_sign.m, 5101 , 2019-03-03
2019_03_03_BCT\generate_fc.m, 9587 , 2019-03-03
2019_03_03_BCT\generative_model.m, 23161 , 2019-03-03
2019_03_03_BCT\get_components.m, 1735 , 2019-03-03
2019_03_03_BCT\grid_communities.m, 1566 , 2019-03-03
2019_03_03_BCT\gtom.m, 2672 , 2019-03-03
2019_03_03_BCT\jdegree.m, 1438 , 2019-03-03
2019_03_03_BCT\kcoreness_centrality_bd.m, 917 , 2019-03-03
2019_03_03_BCT\kcoreness_centrality_bu.m, 1115 , 2019-03-03
2019_03_03_BCT\kcore_bd.m, 1784 , 2019-03-03
2019_03_03_BCT\kcore_bu.m, 1763 , 2019-03-03
2019_03_03_BCT\latmio_dir.m, 2881 , 2019-03-03
2019_03_03_BCT\latmio_dir_connected.m, 4129 , 2019-03-03
2019_03_03_BCT\latmio_und.m, 3513 , 2019-03-03
2019_03_03_BCT\latmio_und_connected.m, 4626 , 2019-03-03
2019_03_03_BCT\link_communities.m, 6295 , 2019-03-03
2019_03_03_BCT\local_assortativity_wu_sign.m, 1718 , 2019-03-03
2019_03_03_BCT\makeevenCIJ.m, 1912 , 2019-03-03
2019_03_03_BCT\makefractalCIJ.m, 1341 , 2019-03-03
2019_03_03_BCT\makelatticeCIJ.m, 1090 , 2019-03-03
2019_03_03_BCT\makerandCIJdegreesfixed.m, 2591 , 2019-03-03
2019_03_03_BCT\makerandCIJ_dir.m, 546 , 2019-03-03
2019_03_03_BCT\makerandCIJ_und.m, 594 , 2019-03-03
2019_03_03_BCT\makeringlatticeCIJ.m, 1185 , 2019-03-03
2019_03_03_BCT\maketoeplitzCIJ.m, 922 , 2019-03-03
2019_03_03_BCT\make_motif34lib.m, 2926 , 2019-03-03
2019_03_03_BCT\matching_ind.m, 2133 , 2019-03-03
2019_03_03_BCT\matching_ind_und.m, 955 , 2019-03-03
2019_03_03_BCT\mean_first_passage_time.m, 1937 , 2019-03-03
2019_03_03_BCT\mleme_constraint_model.m, 7894 , 2019-03-03
2019_03_03_BCT\modularity_dir.m, 5316 , 2019-03-03
2019_03_03_BCT\modularity_und.m, 5283 , 2019-03-03
2019_03_03_BCT\module_degree_zscore.m, 1136 , 2019-03-03
2019_03_03_BCT\motif3funct_bin.m, 3188 , 2019-03-03
2019_03_03_BCT\motif3funct_wei.m, 4526 , 2019-03-03
2019_03_03_BCT\motif3struct_bin.m, 2097 , 2019-03-03
2019_03_03_BCT\motif3struct_wei.m, 3339 , 2019-03-03
2019_03_03_BCT\motif4funct_bin.m, 3809 , 2019-03-03
2019_03_03_BCT\motif4funct_wei.m, 5343 , 2019-03-03
2019_03_03_BCT\motif4struct_bin.m, 2726 , 2019-03-03
2019_03_03_BCT\motif4struct_wei.m, 4116 , 2019-03-03
2019_03_03_BCT\navigation_wu.m, 3520 , 2019-03-03
2019_03_03_BCT\null_model_dir_sign.m, 9025 , 2019-03-03

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发表评论

0 个回复

  • zuoye1
    用FEMALE.TXT和MALE.TXT的数据作为训练样本集，建立Bayes分类器，用测试样本数据对该分类器进行测试。(With the older MALE. TXT. TXT and data as the training sample set, establish Bayes classifier, test sample data with the classifier for testing. )
    2011-07-25 17:41:52下载
    积分：1
  • yuandaima-1
    《MATLAB7.0编程基础》书中图形的源代码，这是第1章的集合，比较全面，很有用，是很好的参考。(" Matlab7.0 programming foundation graphics source code in the book, which is a collection of Chapter 1, more comprehensive, useful, is a good reference.)
    2013-04-18 19:20:04下载
    积分：1
  • gm_modes.tar
    The code for finding modes from Gaussian Mixture for an input
    2012-11-29 22:20:36下载
    积分：1
  • 123
    有关回归分析的所有算法，包括详细的原理介绍及具体的matlab代码，很适合初学者使用，及有关工程人员参考；其中包含了一元线性回归、最小二乘估计方法、显著性检验、多元线性回归、利用回归模型预测、非线性回归、逐步回归等(All algorithms related to regression analysis, including a detailed description and the specific principles matlab code, it is suitable for beginners to use, and related engineering personnel reference which contains a linear regression, least squares estimation method, significant test, multiple linear regression using the regression model to predict, nonlinear regression, stepwise regression, etc.)
    2021-05-09 15:28:34下载
    积分：1
  • matlab_GUI
    一本介绍matlabGUI图形界面编程的书，从入门到精通，内容详细。(1 Introduction matlabGUI graphical interface programming book, from entry to the master and detailed.)
    2009-10-14 15:50:46下载
    积分：1
  • TSP_GA_Improved-circle
    用遗传算法解决TSP模型，为了增加效率，采用了改良圈法初始化种群，效果很好，而且还有模拟结果图像，值得一看！(Using genetic algorithms to solve the TSP model, in order to increase efficiency, using a modified micro-metering initialization population, the effect is very good, but also the simulation results image and worth a look! )
    2011-02-05 11:39:48下载
    积分：1
  • plotImgZHH
    说明：  EMD的子程序，刚刚忘记了不好意思，真的不是为了刷程序数量(EMD of the subroutine, just forget I am sorry, do not amount to brush program)
    2010-04-23 22:42:54下载
    积分：1
  • cpc
    uploaded the polar codes for cooperative relay networks and the same can be used for compression
    2013-08-24 21:35:56下载
    积分：1
  • Chen_review_PE_wind_200908
    风机发电的文献 非常的详细 有关matlab 的例程都很明确(Fan power is very detailed literature about the matlab routines very clear)
    2014-11-05 13:06:10下载
    积分：1
  • overlay
    function Px=overlay(N,omega,A,sigma,num) OVERLAY Forms multiple power spectral density estimates. ------- USAGE Px=overlay(N,omega,A,sigma,num) Calculates the periodogram using an ensemble of realizations of a process consisting of a sum of complex exponential in white noise. N : length of the signal omega : vector containing the sinusoid frequencies A : vector containing the sinusoid frequencies sigma : the variance of the white noise num : size of the ensemble (number of periodograms)
    2012-04-18 10:00:02下载
    积分：1
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