Search - kmeans matlab

Search - kmeans matlab - List

[matlab] fastkmeans DL : 0: matlab源代码实现快速kmeans聚类
Date : 2010-09-19 Size : 3.9kb User : shiziw369
[matlab] MyKmeans DL : 0: 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)
Date : Size : 1kb User : 阿兜
[matlab] rbf_Kmeans DL : 0: 一个基于K均值聚类的ＲＢＦ神经网络，注释写的很明白，有不明白的地方可以发邮件问我。-a K-means clustering based on the RBF neural network, notes written very well, did not understand the local mail can ask me.
Date : Size : 2kb User : bruce
[matlab] kmeans070622 DL : 0: 这是一个关于K均值的聚类算法希望对大家有用-This is a study on K-means clustering algorithm to all of us hope that useful
Date : Size : 7kb User : 王林
[matlab] mpi_kmeans_ DL : 0: 改进的k均值算法，可以加速运行时间，详见Using the Triangle Inequality to Accelerate k-Means-Improved k-means algorithm, can accelerate the running time, see Using the Triangle Inequality to Accelerate k-Means
Date : Size : 13kb User : xz
[matlab] cskmeans DL : 0: cskmeans 聚类算法的一种 1. 分裂法(partitioning methods)：给定一个有N个元组或者纪录的数据集，分裂法将构造K个分组，每一个分组就代表一个聚类，K<N。而且这K个分组满足下列条件：（1）每一个分组至少包含一个数据纪录；（2）每一个数据纪录属于且仅属于一个分组（注意：这个要求在某些模糊聚类算法中可以放宽）；对于给定的K，算法首先给出一个初始的分组方法，以后通过反复迭代的方法改变分组，使得每一次改进之后的分组方案都较前一次好，而所谓好的标准就是：同一分组中的记录越近越好，而不同分组中的纪录越远越好。使用这个基本思想的算法有：K-MEANS算法、K-MEDOIDS算法、CLARANS算法；
Date : Size : 1kb User : lance
[matlab] kmeans_5 DL : 0: kmeans clustring usw fuk matlab .-kmeans clustring usw fuk matlab .
Date : Size : 2kb User : l
[matlab] KMeans DL : 0: k-meank算法，使用matlab实现，秩序添加一个主函数调用就可以实现，本函数回传会执行结果，使用plot进行绘制。-K-meank algorithm, using MATLAB to achieve, in order to add a main function call can be achieved, the function return will execution results, using the plot is drawn.
Date : Size : 1kb User : ced
[matlab] kmean DL : 0: 通过编写Kmeans算法识别自己的手写数字0——9个数字(Through the preparation of Kmeans algorithm to identify their handwritten numbers 0 - 9 numbers)
Date : Size : 14kb User : 汝汝
[matlab] Umbralizacion DL : 0: umbralizacion, image segmetation
Date : Size : 33kb User : Hgarcia.m
[matlab] Kneans DL : 0: matlab Kmeans算法，matlab聚类算法,接收参数k，返回分类(matlab Kmeans algorithm)
Date : Size : 7.47mb User : squirrel2
[matlab] matlab DL : 0: %N是数据一共分多少类 %data是输入的不带分类标号的数据 %u是每一类的中心 %re是返回的带分类标号的数据(%N is the number of data in total %data is an input data without a classified label %u is the center of every category %re is the returned data with classified labels)
Date : Size : 1kb User : 辣比小新
[matlab] machine-learning-ex7 DL : 0: 吴恩达机器学习课程，第八周作业，详解如何实现PCA以及kmeans(Andrew NG machine learning course, eighth weeks of assignment, detailed how to implement PCA and kmeans)
Date : Size : 11.08mb User : nicos000
[matlab] kmo1 DL : 0: kmeans algoritmo for user to use
Date : Size : 90kb User : nieradka
[matlab] RBFN KMeans Example DL : 0: Radial Basis Function Network using K-means algorithm
Date : Size : 23kb User : Bomberino
[matlab] gmm DL : 0: background subtraction using kmeans and gmm
Date : Size : 7kb User : priya0803
[matlab] k-means算法的Matlab实现以及Iris数据集 DL : 0: k-means算法实现以及Iris数据集(Implementation of K-means algorithm and Iris data set)
Date : Size : 1kb User : 二胡二胡
[matlab] 图像变化检测三种算法 DL : 0: matlab实现图像变化检测分别用kmeans fcm flicm实现图像的变化检测(image change detetion by kmeans,fcm,flicm)
Date : Size : 1.42mb User : 纱
[matlab] KNN_Kmeans_RBF Algorithm DL : 0: KNN Kmeans RBF Algorithm based on matlab
Date : Size : 506kb User : LIZHAOYANH
[matlab] Matlabkmeans聚类分割GUI，分割聚类数可以输入 DL : 0: 该课题为基于kmeans的聚类分割，输入一张彩色图像，可以选择需要分割成多少类，就会以不同颜色区分不同的块，带有GUI界面，操作丰富。(This topic is based on Clustering Segmentation of kmeans. Input a color image, you can choose how many categories you need to segment, and then different blocks will be distinguished with different colors, with GUI interface and rich operation.)
Date : Size : 71kb User : for Matlab

« 1 2 3 4 5 67 8 »