Description: 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) Platform: |
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Author:阿兜 |
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Description: K-MEANS算法
输入：聚类个数k，以及包含 n个数据对象的数据库。
输出：满足方差最小标准的k个聚类。
处理流程：
（1） 从 n个数据对象任意选择 k 个对象作为初始聚类中心；
（2） 循环（3）到（4）直到每个聚类不再发生变化为止
（3） 根据每个聚类对象的均值（中心对象），计算每个对象与这些中心对象的距离；并根据最小距离重新对相应对象进行划分；
（4） 重新计算每个（有变化）聚类的均值（中心对象）-K-MEANS algorithm Input: cluster number k, and contains n data object database. Output: the minimum standards to meet the variance k-clustering. Deal flow: (1) a data object from the n choose k object as initial cluster centers (2) cycle (3) to (4) until a change in each cluster is no longer so far (3) according to each Clustering objects mean (central object), calculated for each object with these centers to object distance and in accordance with a minimum distance between a re-division of the corresponding object (4) re-calculated for each (change) clustering of the mean (central object ) Platform: |
Size: 3072 |
Author:快快 |
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Description: 关于聚类的运用matlab仿真的PAM算法反对法 个发-With regard to the use of clustering matlab simulation of the PAM algorithm to oppose the Law of fat Platform: |
Size: 29696 |
Author:QSB |
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Description: kmeans分类的小程序，聚类算法，大家都来看看吧，-kmeans classification of small procedures, clustering algorithm, as we all look at and see, Platform: |
Size: 1024 |
Author:chenweijiang |
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Description: 图像分割算法之间的比较，比较前沿的放发，利用了kmeans和模糊K均值-Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans Platform: |
Size: 2095104 |
Author:小牛 |
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Description: 一款功能强大的分类算法软件包，在matlab环境下使用。详见如下网站
http://mloss.org/software/view/133/-A MATLAB spectral clustering package to deal with large data sets. Our tool can handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. Spectral clustering algorithm has been shown to be more effective in finding clusters than some traditional algorithms such as kmeans. To perform clustering on large data sets, we implement various ways of approximating the dense similarity matrix, including nearest neighbors and the Nystrom method. Platform: |
Size: 15799296 |
Author:ZC |
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Description: 快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation Platform: |
Size: 334848 |
Author:zhangyun |
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Description: KMeans聚类 (KMeans clustering)With the given cluster number, find the best initial state via running
multiple kmean algorithms.-(KMeans clustering)With the given cluster number, find the best initial state via running
multiple kmean algorithms. Platform: |
Size: 61440 |
Author:boliwang |
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Description: 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 Platform: |
Size: 1024 |
Author:shen zhongyi |
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Description: matlab实现的k均值聚类算法，能对不同维度的数据进行聚类，有测试程序，欢迎下载-k-means clustering algorithm matlab implementation, capable of clustering data in different dimensions, with a test program, welcome to download Platform: |
Size: 1024 |
Author:Ausk |
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Description: 其中包括颜色矩特征提取，四层小波特征提取以及kmeans聚类算法，Matlab编程实现，希望对学习有帮助-Including the extraction of color moment feature, the four layer wavelet feature extraction and kmeans clustering algorithm, Matlab programming, and they hope to help with learning Platform: |
Size: 2048 |
Author:顾小东 |
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Description: 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.) Platform: |
Size: 72704 |
Author:for Matlab |
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Search - kmeans clustering with matlab