登录
首页 » matlab » 聚类分析

聚类分析

于 2020-03-25 发布
0 192
下载积分: 1 下载次数: 8

代码说明:

说明:  马氏距离函数,输入两个序列号计算马氏距离(Mahalanobis distance function, input two serial numbers to calculate Mahalanobis distance)

文件列表:

聚类分析, 0 , 2020-03-25
聚类分析\mashijuli.m, 215 , 2020-03-13
聚类分析\xiangguanxishu.m, 321 , 2020-03-13
聚类分析\xiefangcha.m, 217 , 2020-03-12
聚类分析\yuxuanxiangsidu.m, 241 , 2020-03-13
聚类分析\zhishuxiangguanxishu.m, 368 , 2020-03-13

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实现的谐波提取 Harmonic-extraction
    我学习信号系统时原创的用matlab实现的谐波提取 ,两种方案,先分频再提基波,或者利用带通滤波器(I study the signal system to achieve an original harmonic extraction using matlab, the two programs, the first frequency and then Ti Jibo, or the use of band-pass filter )
    2020-06-27 07:20:02下载
    积分:1
  • mpiv_toolbox
    说明:  基于matlab的PIV算法,简单易懂,专为初学者编写。(A Simple and easy to understand PIV algorithm, designed for beginners.)
    2019-02-25 16:57:41下载
    积分:1
  • encode
    这是一个虹膜识别检测的matlab程序,程序很完整(This is an iris recognition matlab testing procedures, the procedures are complete)
    2010-07-24 10:11:13下载
    积分:1
  • syn
    syndicate form for pro.nary exams
    2010-08-31 13:16:32下载
    积分:1
  • Don
    dream theater berjudul don
    2010-09-18 01:58:39下载
    积分:1
  • suzuki
    无线信道小尺度衰落suzuki模型的matlab实现(Wireless channel small-scale fading matlab implementation of the suzuki model)
    2012-04-10 09:51:32下载
    积分:1
  • power_FCV_powertrain
    simulation of train in matlab with fuel cell source
    2013-09-08 15:34:22下载
    积分:1
  • mpiPopenmp
    采用MPI+OpenMP混合模型设计并实现光化学反应双层并行模拟算法,上层基于MPI实现节点间的原子分解并行,下层基于OpenMP实现节点内的多线程矩阵并行乘法。(With MPI+OpenMP mixed model was designed and implemented The photochemical reaction bunk parallel simulation algorithms, the upper atomic decomposition based on inter-node MPI implementations parallel, the lower based on OpenMP nodes of multithreading matrix parallel multiplication.)
    2012-11-28 16:56:50下载
    积分:1
  • Activeontours
    Activeontours methods
    2013-01-22 17:51:18下载
    积分:1
  • bilinear
    In this paper, we introduce a new machine-learning-based data classification algorithm that is applied to network intrusion detection. The basic task is to classify network activities (in the network log as connection records) as normal or abnormal while minimizing misclassification. Although different classification models have been developed for network intrusion detection, each of them has its strengths and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC (Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both classification rate and run-time efficiency.
    2013-12-21 13:40:52下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载