登录
首页 » matlab » cvap3.7

cvap3.7

于 2021-04-10 发布 文件大小:76KB
0 357
下载积分: 1 下载次数: 170

代码说明:

  聚类有效性指标,比较全,功能比较强大,是学习聚类的好工具(Clustering Validity Indices)

文件列表:

cvap3.7
.......\agg_hierarchical.m
.......\apcluster.m
.......\apclusterK.m
.......\daisy.m
.......\daisyc.dll
.......\datafile
.......\........\iris-solution.txt
.......\........\iris.txt
.......\........\leuk72_3k.txt
.......\data_normalization.m
.......\find_nearpoint.m
.......\ind2cluster.m
.......\license.txt
.......\License_Netlab.txt
.......\mainCVAP.fig
.......\mainCVAP.m
.......\Notice_contributedFiles.txt
.......\pam.m
.......\pamc.dll
.......\pca_of_data.m
.......\plot_data_bylabels.m
.......\show2dim_byclass.m
.......\simatrix_make.m
.......\similarity_euclid.m
.......\similarity_pearson.m
.......\similarity_pearsonC.m
.......\som.m
.......\somtrain.m
.......\som_netlab.m
.......\test.mat
.......\valid_apcluster.m
.......\valid_clear_clustering.m
.......\valid_clear_plotting.m
.......\valid_clear_validation.m
.......\valid_clusteringAlgs.m
.......\valid_data_load.m
.......\valid_data_plot.m
.......\valid_data_plot_check.m
.......\valid_data_split.m
.......\valid_DbDunn.m
.......\valid_errorate.m
.......\valid_errorate_check.m
.......\valid_external.asv
.......\valid_external.m
.......\valid_findk.m
.......\valid_hierarchical.m
.......\valid_internal.m
.......\valid_internal_deviation.m
.......\valid_internal_intra.m
.......\valid_intrainter.m
.......\valid_mutiple_validation.m
.......\valid_plot_hierarchytree.m
.......\valid_plot_index.m
.......\valid_print_label.m
.......\valid_redraw.m
.......\valid_runclustering.m
.......\valid_runvalidation.m
.......\valid_save_solution.m
.......\valid_solution_load.m
.......\valid_sumpearson.m
.......\valid_sumsqures.m
.......\valid_validation_check.m
.......\xlim2.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

  • matlab code实验7高通、低通、带通和带阻滤波器
    < 数字图像处理算法及应用>这本书的相关代码(Image Processing Algorithm and Practices is an important book in IP and AI. High-pass Filter is very normal and practical tool.)
    2020-07-02 01:20:01下载
    积分:1
  • QRcode-By-
    基于CVI的二维码图像识别 QR Code的认识和识别(Awareness and recognition of the two-dimensional code image QR Code)
    2013-03-20 11:46:01下载
    积分:1
  • GS_phase_retrieval
    一种可用的相位恢复算法,做图像处理的同学们可以参考(A effective phase retrieval algorithm)
    2020-09-10 13:38:00下载
    积分:1
  • LBP
    说明:  完整的lbp编码,可以学会怎样使用lbp(Complete lbp coding, you can learn how to use the lbp)
    2021-04-06 19:39:02下载
    积分:1
  • boltzmann
    shanChen两相流LBM的c版源代码,参考shanChen.m修改的,希望对不太熟悉Matlab的有所帮助(c code of liquid-liquid flow of shanchen)
    2020-07-01 13:40:02下载
    积分:1
  • ZCZ-CDMA2
    zcz cdma system for matlab(zcz cdma system)
    2009-05-25 13:50:40下载
    积分:1
  • enhance
    图象增强,内嵌8中方法供您参考比较, 图象增强,内嵌8中方法供您参考比较,(Image enhancement, embedded in 8 methods for your reference comparison, image enhancement, embedded in 8 methods for your reference comparison,)
    2008-04-13 14:52:56下载
    积分:1
  • pased-which-matlab
    用来进行滤波的,这是基于matlab环境的编程程序,(Used for filtering, which is a programming program based on matlab environment.)
    2019-05-20 22:52:28下载
    积分:1
  • 盲解卷积复原
    盲去卷积复原算法,并在MATLAB中进行实验,和维纳滤波的复原效果进行一个对比。盲去卷积的方法有多种,露西-理查德森算法属于图像复原中的非线性算法,与维纳滤波这种较为直接的算法不同,该算法使用非线性迭代技术,在计算量、性能方面都有了一定提升(The blind deconvolution restoration algorithm is carried out in MATLAB and is compared with the restoration effect of Wiener filtering. There are many ways of blind deconvolution. Lucy Richardson algorithm is a nonlinear algorithm in image restoration. Unlike Wiener filtering, this algorithm uses nonlinear iteration technology, and has a certain improvement in computation and performance.)
    2018-03-23 09:34:27下载
    积分:1
  • main
    说明:  以稀疏基有离散余弦变换基(DCT)和快速傅立叶变换基(FFT)做为稀疏基,高斯随机矩阵、部分哈达玛矩阵为测量矩阵,L1范数、正交匹配追踪算法(OMP)为重建算法进行压缩感知算法实现。 以f = cos(2*pi/256*t) + sin(2*pi/128*t)做为原信号,取原信号f的20%做为输入进行压缩感知重建。(The sparse basis includes discrete cosine transform (DCT) and fast Fourier transform (FFT) as sparse basis, Gaussian random matrix and partial Hadamard matrix as measurement matrix, L1 norm and orthogonal matching pursuit algorithm (OMP) as reconstruction algorithm. In this paper, the reconstructed signal is reconstructed by using the original sensing signal (sinf * t) as the original input signal (i.e. sinf * t * 2) + 2 * s * t * as the input signal.)
    2020-12-17 22:00:23下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载