ft1000

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

用matlab编写的源程序，挺好用的，大家可(Prepared using matlab source, very good use, we can)

Animate a bear using sprites, using cocos 2D

说明：  该函数仿真了线型调频函数的模糊度图。对学习模糊度者有一定借鉴作用(The simulation of a linear function of the ambiguity function FM Fig. Fuzzy degree of learning from those who have a certain role)

基本人工鱼群算法程序，matlab代码，非常完整，有注释(AFSA programm is with matlab,which is very good )

Implementation of a rule using a Groovy script.

función para Reducir la escala de gris

产生射频噪声干扰信号，并画出他的波形和功率谱(RF signal generated noise, and draw his waveform and power spectrum)

根据输入的相应数据，绘制数据的自功率谱幅值曲线图(According to the corresponding input data, drawing data from the power spectrum amplitude curve)

内模控制实现程序 基于MATLAB2010a环境下实现(Implement procedures based on internal model control environment to achieve MATLAB2010a)