Search - kmeans matlab

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[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
[Speech/Voice recognition/combine] vqKmeans DL : 0: Test k-means on 2-D data
Date : Size : 2kb User : 黎思
[Algorithm] kkmeans DL : 0: 自己做的一个kmean聚类程序,里面有例子和聚类程序 -Their clustering kmean to do a procedure, there are examples and clustering procedures
Date : Size : 3kb User : maweilin
[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
[Speech/Voice recognition/combine] cskmeans DL : 0: 语音识别的K－means算法，语音识别的K－means算法语音识别的K－means算法-Speech Recognition K-means algorithm, speech recognition of K-means algorithm for speech recognition of the K-means algorithm
Date : Size : 1kb User : 在式朝
[Algorithm] fuzzykmeans DL : 0: 数据挖掘算法很多，其中模糊k均值算法是目前使用比较多的分类方法-Many data mining algorithms, including fuzzy k-means algorithm is currently using a relatively large number of classification methods
Date : Size : 3kb User : 张云
[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
[Special Effects] kmeansren DL : 0: k均值聚类的动态分类算法灰度图和彩图的 -k-means clustering algorithm for the dynamic classification of grayscale and color
Date : Size : 3kb User : zhangyan
[Special Effects] kmeansnaohuizhi DL : 0: K_MEANS 实现脑图像分割，聚类数为3，采用整体计算法-Realize K_MEANS brain image segmentation, clustering for 3, using the overall calculation
Date : Size : 33kb User : 任彦华
[Mathimatics-Numerical algorithms] newkmeans DL : 0: k-means算法，请大家参考，这是一个新的k-means源码-k-means algorithm, please refer to, this is a new source of k-means
Date : Size : 81kb User : fanliutong
[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
[Special Effects] guiyihuachengxu DL : 0: 实现对图像的归一化处理，为图像进行水印嵌入等操作打下基础-The realization of the normalized image processing, for image watermark embedding operation, such as laying a foundation
Date : Size : 224kb User : cll
[Graph program] algorithms DL : 0: 若干matlab写的算法。包括kmeans,GA,Emfc等。值得研究和学习。-Matlab write a number of algorithms. Including kmeans, GA, Emfc and so on. Worth studying and learning.
Date : Size : 6kb User : alan ren
[Data structs] matrixdriver DL : 0: now, how can i call kmeans function for h , s,v separately, what parameters to be passed. here h is 512*512 matrix.and how can i construct the clustered/segmented image from the kmeans result. need sample code in matlab its urgent. Please help.-now, how can i call kmeans function for h , s,v separately, what parameters to be passed. here h is 512*512 matrix.and how can i construct the clustered/segmented image from the kmeans result. need sample code in matlab its urgent. Please help.
Date : Size : 2kb User : jntu
[Algorithm] matrixdriver1 DL : 0: But knowing the matlab rules, the most evident problem in you code is the name of the function. There exist a matlab function named kmeans
Date : Size : 1kb User : jntu
[matlab] kmeans_5 DL : 0: kmeans clustring usw fuk matlab .-kmeans clustring usw fuk matlab .
Date : Size : 2kb User : l
[Special Effects] kmeansGUI DL : 0: 用Matlab自己编的一个Kmeans算法，并设计了GUI界面，可以实现任意维度的输入，速度很快-Using Matlab compiled a Kmeans their own algorithm, and designed GUI interface, can achieve an arbitrary dimension input, fast
Date : Size : 13kb User : 小白
[matlab] bifurcation DL : 0: 计算群体感应模型的分叉图，直接描述模型随时滞变化的-Computing the bifurcation digram of quorum sensing and decribing the change with delay
Date : Size : 1kb User : shen zhongyi
[matlab] kmeans1 DL : 0: kmeans clustering algorithm matlab
Date : Size : 1kb User : thmint

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