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MATLAB_GUI
hi,this file implementation GUI with matlab
- 2009-10-20 14:43:15下载
- 积分:1
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MyKmeans
实现聚类K均值算法: K均值算法:给定类的个数K,将n个对象分到K个类中去,使得类内对象之间的相似性最大,而类之间的相似性最小。 缺点:产生类的大小相差不会很大,对于脏数据很敏感。 改进的算法:k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用,这样的一个medoid就标识了这个类。步骤: 1,任意选取K个对象作为medoids(O1,O2,…Oi…Ok)。 以下是循环的: 2,将余下的对象分到各个类中去(根据与medoid最相近的原则); 3,对于每个类(Oi)中,顺序选取一个Or,计算用Or代替Oi后的消耗—E(Or)。选择E最小的那个Or来代替Oi。这样K个medoids就改变了,下面就再转到2。 4,这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感,但计算量显然要比K均值要大,一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))
- 2005-07-26 01:32:58下载
- 积分:1
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segarec1
license plate segmentation and recognition program on matlab plateform
- 2013-03-09 20:35:24下载
- 积分:1
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MFCC
MFCC参数提取的所有程序,已接近人耳听觉的特点在语音识别领域得到广泛应用(MFCC parameter getting)
- 2014-11-17 14:51:46下载
- 积分:1
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00668163
an article about a model of dvr
- 2011-05-11 05:07:47下载
- 积分:1
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polynomial
zernike moment with matlab
- 2011-08-22 14:52:54下载
- 积分:1
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machine-learning
machine learning中最经典的图书(The most classic machine books learning)
- 2015-01-02 16:09:54下载
- 积分:1
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kalman_forward_backward
Forward Backward Propogation in Information Form
- 2012-01-17 23:47:07下载
- 积分:1
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fixed_point_systems
Fixed-point for functions of several variables (Function fixed_point_systems(x0, N) approximates the solution of a system of nonlinear equations F(x) = (f1(x), f2(x), ..., fn(x)) = 0 rewritten in the fixed-point form x = G(x) = (g1(x), g2(x), ..., gn(x)). This is done by the user at the bottom of the file. The sub-function G(x) has to be updated accordingly with the given system. The iteration scheme x(k+1) = G(x(k)) is implemented until condition |x(k)- x(k-1)| < tol is met, starting with an initial approxiamtion vector x0. If, after N iterations, the stopping criterion is not reached, a message concerning the iterated x s is displayed. the output consists of iterates of each variables x1, x2, ..., xn in each column. )
- 2009-05-14 04:39:19下载
- 积分:1
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GPSSINSNavigation
说明: matlab 编写的gps/sins组合导航程序,附程序说明与数据输入文件(matlab prepared gps/sins navigation procedures, with explanation of the procedures and data input file)
- 2008-10-20 21:03:06下载
- 积分:1