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【Other】 k-means c++源码 DL : 0: 社团结构划分中 k-means算法 C++源码
Update : 2012-05-21 Size : 3568 Publisher : s_ssss
【Applications】 k-average DL : 0: k平均聚类算法，实现聚类的图形显示-k average clustering algorithm to achieve the cluster graphics
Update : 2024-04-29 Size : 51200 Publisher : 齐玉祥
【Graph program】 k-means DL : 0: 盢堵フ紇钩Image
Update : 2024-04-29 Size : 1024 Publisher : 罼骧朢
【Windows Develop】 Exam096 k均值算法 DL : 0: 用c语言编写的k均值算法-prepared by the k-means Algorithm
Update : 2024-04-29 Size : 2048 Publisher :
【Windows Develop】 k-means代码 DL : 0: 这只是我从其它网站上下载的-from other websites on the download
Update : 2024-04-29 Size : 773120 Publisher : 孙宁
【AI-NN-PR】 kmeans_cluster聚类算法的实现 DL : 0: 数据挖掘中k-means聚类算法的实现源代码-clustering algorithm source code in data mining
Update : 2024-04-29 Size : 3072 Publisher : 张乐
【matlab】 clustering DL : 0: 動態聚類k-means演算將輸入在程式中的數據資料給予適當的分群-dynamic clustering k-means figure:proper hiving off of input datum in programme
Update : 2024-04-29 Size : 829440 Publisher : 傅國欽
【matlab】数据挖掘中K均值算法实现 DL : 0: 数据挖掘中K均值算法的实现用MATLAB编写-data mining to the K-means algorithm to achieve prepared using MATLAB
Update : 2024-04-29 Size : 1024 Publisher : 方巍巍
【ADO-ODBC】新建 Microsoft Word 文档 (3) DL : 0: 基于划分的聚类分析算法k-means,主要用于数据挖掘领域.-Partition- based cluster analysis algorithm k-means, used mainly for data mining areas.
Update : 2024-04-29 Size : 3072 Publisher : 许朝
【AI-NN-PR】 zhong DL : 0: 系统聚类算法K-means 属于聚类分析中一种基本的划分方法，常采用误差平方和准则函数作为聚类准则，该算法在处理大数据集时是相对可伸缩且高效率的，同时具有潜在的数据并行性。但是这种算法依赖于初始值的选择以及数据的输入顺序；此外，当运用误差平方和准则函数测度聚类效果时，如果各簇的形状和大小差别很大，为使误差平方和 Jc 值达到最小有可能出现将大的聚类簇分割的现象。-system clustering algorithm K-means cluster analysis is a basic method is often used squared error criterion function as a cluster criteria, the algorithm in handling large data sets are relatively scalable, high-efficient and has the potential of data parallelism. However, this algorithm depends on the initial value of the options and data input sequence; In addition, when using square error of measurement function and the criteria clustering effect, if the cluster size and shape vary greatly, the square error for the Jc value and minimize the possibility of the emergence of large cluster segmentation clustering phenomenon.
Update : 2024-04-29 Size : 2048 Publisher : tang
【AI-NN-PR】 fuzme_matlab DL : 0: k-means算法(matlab编写),其中包含测试数据集,可以使用.-This is a k-means algorithm(in matlab) contains data set which can be used
Update : 2024-04-29 Size : 18432 Publisher : hu min
【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)
Update : 2024-04-29 Size : 1024 Publisher : 阿兜
【AI-NN-PR】 scalekmeans.tar DL : 0: Scalable k-means software and test datasets This package (a Unix tar file, gzipped) contains the source code for the software that was used to run the experiments for the article -Scalable k-means software and test datasets This package (a Unix tar file, gzipped) contains the source code for the software that was used to run the experiments for the article
Update : 2024-04-29 Size : 32768 Publisher : 贾华丁
【matlab】 CART DL : 0: 数据挖掘算法，K-means聚类算法源代码，用于聚类分析-data mining algorithms, K-means clustering algorithm source code for the cluster analysis
Update : 2024-04-29 Size : 1024 Publisher : sah
【matlab】 fuzzy_k_means DL : 0: 数据挖掘算法，fuzzy-K-means聚类算法源代码，用于模糊聚类分析-data mining algorithms, fuzzy-K-means clustering algorithm source code for Fuzzy Cluster Analysis
Update : 2024-04-29 Size : 1024 Publisher : sah
【GDI-Bitmap】 KMEANS(matlab) DL : 0: Matlab环境下的k-means聚类算法，实现图像分割，很快阿！-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!
Update : 2024-04-29 Size : 32768 Publisher : 刘明霞
【Other】 KMEANS01 DL : 0: This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen.-This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen.
Update : 2024-04-29 Size : 270336 Publisher : 赵丁香
【AI-NN-PR】 k_means DL : 0: 分类聚合算法k-means的实现,用matlab-polymerization classification algorithm k-means the realization of using Matlab
Update : 2024-04-29 Size : 1024 Publisher : 利军
【AI-NN-PR】 K均值 DL : 0: 本程序通过k均值算法对两类进行分类。通过任意选择初始点，由k均值很快找到两类的中心点-the procedure k means algorithm to classify two types. Through arbitrary choice initial point, k Mean quickly found two focal point
Update : 2024-04-29 Size : 102400 Publisher : luxiangzz
【Algorithm】练习一源程序 DL : 0: K-means一个用C++实现的聚类算法 -K-C means to achieve a clustering algorithm
Update : 2024-04-29 Size : 5120 Publisher : 杨子

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