登录
首页 » Others » Unsupervised-optimal-FCM

Unsupervised-optimal-FCM

于 2012-02-10 发布 文件大小:662KB
0 184
下载积分: 1 下载次数: 3

代码说明:

  Fuzz c-mean Clusterin technique

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

  • MATLAByanzou
    用Matlab演奏经典曲目卡农、最炫民族风、青花瓷、新贵妃醉酒,很多歌曲都可以使用此方法(Using Matlab played classics Canon, and most unusual national wind blue and white porcelain, New Drunken Beauty, a lot of songs can use this method)
    2013-05-11 21:36:19下载
    积分:1
  • TQWT原版
    说明:  TQWT工具箱,可调Q因子小波变换,可用于轴承齿轮故障诊断。(TQWT toolbox, adjustable Q factor wavelet transform, can be used for bearing gear fault diagnosis.)
    2021-04-21 10:18:50下载
    积分:1
  • shiyuzhuanpinyu
    这是一个滤波器,用来将时域信号转换位频域进行分析滤波后,再转为时域信号的小程序(This is a filter for converting the digital time domain signal analysis of the frequency domain filtering, a time domain signal of the small sub-program)
    2013-11-17 21:05:57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
  • sobel
    边缘检测算子 sobel检测算子 matlab源码(sobel matlab 源码)
    2010-05-24 18:48:44下载
    积分:1
  • feixianxingfangcheng
    我们一般习惯于解线性方程,对于非线性方程我们可以借助matlab进行解答(We used solutions of general linear equation, the nonlinear equations can be answered with matlab)
    2010-06-04 16:47:14下载
    积分:1
  • psoSVM
    说明:  pso优化SVM分类,直接调用win32的SVM(pso optimal SVM classification, the SVM directly call win32)
    2011-03-21 14:44:30下载
    积分:1
  • matlab_bayes_classifier
    使用matlab编写的bayes分类器,朴素贝叶斯分类器(Prepared using bayes classifier matlab)
    2010-06-24 09:48:44下载
    积分:1
  • matlab
    matlab program to practice
    2010-11-10 11:16:03下载
    积分:1
  • ASM_version1b
    ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想: 在ASM模型训练,训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析(PCA),使该模型自动识别数据的主要变化是,如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时,在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)
    2010-03-04 17:01:22下载
    积分:1
  • 696518资源总数
  • 106155会员总数
  • 8今日下载