登录
首页 » matlab » fs_sup_fcbf

fs_sup_fcbf

于 2015-06-15 发布 文件大小:1KB
0 221
下载积分: 1 下载次数: 7

代码说明:

   Using Weka s feature selection algorithm X, the features on current trunk, each colum is a feature vector on all instances, and each row is a part of the instance Y, the label of instances, in single column form: 1 2 3 4 5 ... a.E = weka.attributeSelection.SymmetricalUncertAttributeSetEval a.S = weka.attributeSelection.FCBFSearch -D false -T -1.7976931348623157E308 -N -1

文件列表:

fs_sup_fcbf
...........\fs_sup_fcbf
...........\...........\fsFCBF.m,1173,2014-11-12

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

  • three_level_diode_clamped_single_phase_pwm
    A Multilevel inverter topology based on spwm.
    2010-12-03 08:16:12下载
    积分:1
  • qpskdemodulation
    这是一个数字调治解调器,非常经典的。经过本人仿真可以实现(This is a digital modulation modems, very classic. After I simulation can be achieved)
    2007-06-11 20:51:29下载
    积分:1
  • periodogramSinusInNoise
    periodogram method for power spectrum estimation
    2015-02-14 22:43:59下载
    积分:1
  • FROMparameter
    butterworth highpass filter
    2010-07-08 23:43:17下载
    积分:1
  • NOUMP
    不考虑不平衡磁拉力(UMP),转子系统在自身的质量、阻尼、弹簧等作用下,轴心轨迹求解方法(unbalanced magnetic pull is not considerated and rotor center orbit is gotten)
    2013-11-23 20:10:57下载
    积分:1
  • dsp
    一些有助于学习dsp的形象的教程性的程序(That will help to learn dsp easily )
    2010-03-04 17:27:43下载
    积分:1
  • Micromechanics_v0.4
    Standard analytic micromechanics analysis using the matlab programming language.
    2011-02-01 22:42:25下载
    积分:1
  • lsdptool2.03
    回路成形方法设计H_infinity控制器的matlab工具箱。(H_infinity control toolbox using loop shaping method.)
    2011-11-29 23:55:27下载
    积分:1
  • SVD
    通过奇异值分解的方法对数字图像进行压缩达到节省存储空间的目的(Compression of digital image by singular value decomposition to save storage space)
    2019-03-22 16:23:28下载
    积分:1
  • Mahalanobis
    马氏距离是一种有效地计算两个样本集之间相似度的算法(数据之间协方差距离),与欧式距离相比,它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据,设计一个最小马氏距离分类器并对测试点进行分类,然后将其与最小欧式距离分类器进行比较,实验得出当协方差矩阵为单位阵时,最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类,并与最小马氏距离分类器进行比较,比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)
    2021-02-07 08:59:55下载
    积分:1
  • 696516资源总数
  • 106627会员总数
  • 16今日下载