Search - K-mean

[Other resource] MyKmeans

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: | Size: 1378 | Author: 阿兜 | Hits:

[Other] K_average

Description: 模式识别的经典算法之一，动态聚类的k均值算法，采用matlab进行编程，并对分类进行了画图分析。-the classic pattern recognition algorithms, dynamic clustering algorithm k mean using Matlab programming, as well as classification of the class analysis.
Platform: | Size: 2701 | Author: 也风 | Hits:

[Other resource] 数据挖掘常用算法

Description: 数据挖掘常用的算法，包括id3，k均值，FCM，SVM,CART五个常用的算法，是用matlab编写的。-commonly used data mining algorithms, including id3, k mean, FCM, the SVM, CART five commonly used algorithm is the use of Matlab prepared.
Platform: | Size: 18518 | Author: 李冬宾 | Hits:

[Other resource] k_mean_binary

Description: 是对K-mean算法的数据分析处理,运行时需输入数据,其中有参考数据,希望对大家的学习有所帮助-of K-mean algorithm for data analysis, run-time required to input data, including reference materials, we hope to learn some help
Platform: | Size: 55575 | Author: 任 | Hits:

[Other resource] Jx_KClustering

Description: K-均值算法图形演示程序，可以设定聚类个数，采用MFC编写，有完善的K-均值类，可以对多维数据进行K-均值处理。-K-means algorithm graphics demo program, the number of clusters can be set using MFC preparation, a comprehensive K-average category, multidimensional data on K-mean treatment.
Platform: | Size: 75600 | Author: 蒋露 | Hits:

[Other resource] cmeans

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。-achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n objects assigned K to 000 category, making such objects within the similarity between the largest category of the similarity between the smallest.
Platform: | Size: 1408 | Author: yili | Hits:

[Bio-Recognize] segement

Description: 此程序采用K均值的方法对样本数据进行模式分类-procedure used K-mean method of sample data for pattern classification
Platform: | Size: 1310649 | Author: 吴克松 | Hits:

[Special Effects] texture3

Description: 本程序在对图像进行纹理分析（基于共发矩阵的方法）的基础上，获取图像不同区域的纹理特征，针对这些纹理特征，采用聚类（K-mean)的分类算法对图像进行区域划分！-procedures in the right image texture analysis (based on total fat matrix method), on the basis of access to different regions of the image texture features, these features texture, using clustering (K-mean) the right image classification algorithm for a regional breakdown!
Platform: | Size: 350655 | Author: 陈镇静 | Hits:

[Special Effects] textureA2

Description: 本程序在对图像进行纹理分析（由于共发矩阵的方法效果很不好，本程序采用基于频率域的纹理分析算法）的基础上，获取图像不同区域的纹理特征，针对这些纹理特征，采用聚类（K-mean)的分类算法对图像进行区域划分！-procedures in the right image texture analysis (due to a total of hair matrix, the effect is very bad, the program uses a frequency domain based on the texture analysis algorithm), on the basis of access to different regions of the image texture features, these texture characteristics, using clustering (K-mean) the right image classification algorithm for a regional breakdown!
Platform: | Size: 303623 | Author: 陈镇静 | Hits:

[Other] K_MEANS

Description: 实现K-MEAN经典聚类算法，代码书写规范，接口简洁，值得参考
Platform: | Size: 2800 | Author: ming | Hits:

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[Other resource] MyKmeans

[Other] K_average

[Other resource] 数据挖掘常用算法

[Other resource] k_mean_binary

[Other resource] Jx_KClustering

[Other resource] cmeans

[Bio-Recognize] segement

[Special Effects] texture3

[Special Effects] textureA2

[Other resource] KMEANS_FixedBug

[Other resource] image

[Other resource] ZXPKMeans(07082501)

[Other resource] clustering

[Special Effects] 2A

[MultiLanguage] kMean

[Other resource] K-MEANS

[Other resource] Kmean

[Search Engine] MSearch.Lib

[Other resource] GCluser

[Other] K_MEANS

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