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: |
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Description: matlab源码关于模糊K均值聚类算法，很好的，适合大家下载研究学习-matlab source code on the fuzzy K-means clustering algorithm, very good for everyone to download research study Platform: |
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Description: KMEANS聚类算法实现程序，程序分为两个部分，包括数据和KMEANS聚类算法实现程序，并有详细的注释．-Clustering algorithm KMEANS realize procedure, the procedure is divided into two parts, including the data and clustering algorithm KMEANS realize procedure, and detailed notes. Platform: |
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Description: 层次模糊聚类的算法实现，一个用C或者C++写的kmeans算法，最新的聚类算法-Level fuzzy clustering algorithm, one using C or C++ written kmeans algorithm, the latest clustering algorithm Platform: |
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Description: 这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is the use of k-means clustering algorithm partitions a gray-scale image. Platform: |
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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: |
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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: |
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Description: K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm Platform: |
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Description: 包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code. Platform: |
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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: |
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Description: 该代码能够实现K均值聚类算法对彩色图像分割，在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve. Platform: |
Size: 1024 |
Author:牛少敏 |
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Description: 改进的kmeans算法，聚类效果良好，比三种算法要好，matlab(The improved kmeans algorithm has good clustering effect and is better than the three algorithms, matlab) Platform: |
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Author:怀志
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Description: 一个简单的kmeans均值聚类算法。可以用matlab实现对于均值的聚类(A simple kmeans mean clustering algorithm. Matlab can be used to implement the clustering of the mean) Platform: |
Size: 43008 |
Author:where i所有 |
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Description: matlab实现Kmeans聚类算法，非常详细。(The algorithm is designed to test the MATLAB clustering algorithm and is very useful.) Platform: |
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Author:天凡 |
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