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banjiandu
半监督覆盖程序,相关问题参加粗糙集条件属性约简程序,相关问题参加粗糙集条件属性约简程序,相关问题参加粗糙集(jueceshuxing)
- 2010-06-01 22:49:13下载
- 积分:1
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sanxianbaxianyimaqi
一个3线8线译码器在matlab中的电路图(3 line 8 line decoder circuit diagram
based on matlab)
- 2011-09-11 19:27:45下载
- 积分:1
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IV_Main
instrumental variable identification method
- 2013-03-05 18:55:03下载
- 积分:1
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biyesheji
用于电力系统的机电暂态计算,并且有相应算例并绘画出相关的图形(For power system electromechanical transient calculation, and the corresponding drawing out of the study and related graphics
)
- 2011-12-17 21:26:32下载
- 积分:1
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Simulink-tutorial
simulink仿真教程,对初学者很有用(the simulink simulation tutorial, very useful for beginners)
- 2013-03-25 09:47:43下载
- 积分:1
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three-dimensional
说明: Matlab中如何实现二维和三维隐函数绘图
内含实例(Matlab, how to achieve two-dimensional and three-dimensional graphics containing examples of the implicit function)
- 2010-03-26 13:28:38下载
- 积分:1
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bayesshrink
bayes shrink denoising
- 2011-06-18 14:02:06下载
- 积分:1
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wurane2e
指出了城市的主要污染物长期以来对城市居民造成了直接的危害,为更好地反映其污染变化趋势、加强污染防治工作和预防严重污染事件的发生,研究了污染预测方法,开展了污染预报工作。借助于MATLAB极强的非线性处理能力,来解决大气环境主要污染物自身复杂多变的问题,探讨了将MATLAB技术应用到空气污染的主份因子分析及预测领域中。(Pointed out that the city has long been the main pollutants of urban residents a direct harm, to better reflect its pollution trends, strengthen the prevention and control of pollution and prevention of serious pollution incidents, to study the pollution prediction method, carried out pollution forecast work. MATLAB help of strong nonlinear processing capabilities to solve complex atmospheric environment of major pollutants own issues discussed will be applied to the master copies of MATLAB technical factor analysis and forecasting in the field of air pollution.)
- 2014-01-19 16:43:06下载
- 积分:1
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KNN
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.)
- 2020-10-23 14:37:22下载
- 积分:1
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capon
几种copon波束形成的算法---MATLAB版本(Several copon beamforming algorithm--- MATLAB version)
- 2010-06-09 19:43:29下载
- 积分:1