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matlab program for fuzzy logic clustering

由信道信号的复数值解调对应的二进制序列由信道信号的复数值找出对应的二进制序列。方法如下：由信道值， ％％求出该值与星座图中所有点的距离，找出距离最小的点，该点对应的 ％％二进制序列及为该信道对应的解调结果。 (Channel signal by the complex demodulation value corresponding to the binary sequence by the complex channel signals to identify the corresponding binary numerical sequence. As follows: by the channel value, the value obtained with the constellation diagram of all points of distance, find the smallest distance between points, the points of the corresponding binary sequence and the corresponding channel demodulation results.)

这是模式识别中关于k均值动态聚类算法的matlab源码(This is the pattern recognition on the k-means clustering algorithm Matlab FOSS)

从网络上搜集的决策树源码，包括C4_5、ID3、CART_iris三个源码，供大家一起学习研究。(Decision tree collected from the network source, including C4_5, ID3, CART_iris 3 source for study and research with everyone.)

说明：  Matlab从入门到精通中所有的源程序。(Matlab from entry to master all of the source.)

matlab的基本实现函数有图 例如求代数方程3x5+4x4+7x3+2x2+9x+12=0的所有根。（利用roots函数）(The basic realization of matlab function has a plan such as the algebraic equation 3x5+4 x4+7 x3+2 x2+9 x+12 = 0 for all roots. (Using the roots function))

针对模型中人为设定参数值的不合理性，对机动时间常数的倒数进行建模，提出新的模型，并给出相应的α-Jerk滤波算法。该模型在估计目标状态的同时，能够实时估计参数α的值。仿真结果表明α-Jerk模型比Jerk模型收敛速度更快，状态估计更精确。并与jerk算法进行了比较。(Artificially set for the model parameter values ​ ​ of the irrational nature of the reciprocal of the motor time constant modeling, and propose new models and the corresponding alpha-on Jerk filtering algorithm. The model to estimate the target state at the same time, real-time estimate of the value of the parameter α. The simulation results show that alpha-on Jerk model faster convergence than the Jerk model, state estimation more accurate. And jerk algorithm.)

Hi friends.I m doing my project in Fuzzy logic image compression please help and guide me.

通信系统建模与仿真第15章基于MATLAB程序(System Modeling and Simulation of Chapter 15 program based on MATLAB)

利用MATLAB编写了GM（1，1）预测模型的程序，方便人们直接使用该程序进行预测。(MATLAB prepared using GM (1,1) prediction model of the procedures for people to direct the use of the prediction process.)