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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
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Size: 1810 |
Author: 亨利 |
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Description: Matlab的kmeans算法实现，有很详细得说明
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Size: 8761 |
Author: 季成 |
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Description: matlab的语音处理工作箱，包括分帧，参数计算等等各种功能-The matlab toolbox of speech processing,including enframe, parameter calculating and so on.
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Size: 151552 |
Author: 吴昊 |
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Description:
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Size: 1024 |
Author: yinweidong |
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Description: 图像集群（Image Clustering）
(1)图像读入，显示图像所在路径；
(2)采用imgcluster函数进行图像集群，选择集群个数后进行图像集群；
(3)运行后，在原图像上显示集群灰度图；
(4)若要显示各个集群情况，可打开【Show Clustering Image】新窗体，显示各集群类的基于原图的彩绘区域。其中非当前集群范围，则显示灰度为255的黑色。用户可点击按纽上下查看所有集群图。-image cluster (Image Clustering) (1) read into the images, Images show host path; (2) use of imgcluster function for image clusters, After the number of clusters chosen for image clusters; (3) After the operation, in the original image displayed on the gray level clusters; (4) To show that the various clusters, [Show Open Clustering Image-- new windows, showed that the cluster type based on the maximum of regional painting. Clusters of non-current range, it shows that the intensity of 255 black. Users can click on View All button next cluster map.
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Size: 113664 |
Author: mecal |
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Description: 这是一个用c和matlab编写的程序，用于实现k-means算法-This is a matlab with c and the preparation of the procedures used to implement k-means algorithm
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Size: 6144 |
Author: 海天 |
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Description: 基于MATLAB的KMEANS 聚类程序
程序和数据如下:
-MATLAB-based clustering procedure KMEANS program and data are as follows:
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Size: 8192 |
Author: 按时扩大 |
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Description: 用matlab语言写的EM(Expectation maximization)算法,用于模式分类-Matlab language used to write the EM (Expectation maximization) algorithm for pattern classification
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Size: 2048 |
Author: 罗升阳 |
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Description: 用matlab写的kmeans segmentation算法实现-Using matlab written kmeans segmentation algorithm
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Size: 1024 |
Author: Eva |
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Description: KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means
algorithm to set the centres of a cluster model. The matrix DATA
represents the data which is being clustered, with each row
corresponding to a vector. The sum of squares error function is used.
The point at which a local minimum is achieved is returned as
CENTRES.
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Size: 2048 |
Author: 西晃云 |
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Description: 可以导入要聚类的文件，分类后可以把结果写入一个文件中-Can be imported to the document clustering, classification results can write a document
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Size: 1024 |
Author: yf |
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Description: 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
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Size: 3072 |
Author: zhangyan |
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Description: kmeans image segmentation program
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Size: 7168 |
Author: zengzhiyong |
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Description: 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
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Size: 33792 |
Author: 任彦华 |
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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 )
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Size: 3072 |
Author: 快快 |
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Description: fast implementation of Kmeans clustering algorithm
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Size: 3072 |
Author: jwj |
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Description: 一个可以用的源码 希望有用 真麻烦 该死的 不是-One can hope that a useful source of real trouble is not a damned
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Size: 46080 |
Author: mark |
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Description: 这是一个用Kmean处理图像的matlab文件-This is a deal with Kmean document images matlab
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Size: 1024 |
Author: bohao |
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Description: matlab版本的k-means聚类程序，很简单易懂，适用于matlab和聚类的初学者-matlab version of the k-means clustering procedure is very simple and easy to understand, apply and clustering matlab beginner
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Size: 3072 |
Author: qianwen |
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Description: 四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。-Four clustering algorithm source code and sample code, the ultimate goal of this process is the formation of a set of criteria for clustering, scalable tool. Including the contents of 1. Clustering Algorithm: Kmeans and Kmedoid algorithm, FCMclust, GKclust, GGclust algorithm 2. Assess the classification of a prototype: The procedure can be two-dimensional images to map out the results of clustering 3. Verify: Program to provide every algorithm authentication mechanism, each clustering algorithm statistics Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several indicators.
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Size: 2136064 |
Author: 王梦萍 |
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