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高效的k-means算法实现,使用了k-d树与局部搜索等提高k-means算法的执行效率,同时包含示例代码,用c++代码实现。 Effecient implementation of k-means algorith, k-d tree and local search strategy are implementd to improve the effeciency, samples are included to show how to use it. All codes are implemented in C++.-Efficient k-means algorithm, the use of a kd tree with local search, such as k-means algorithm to improve the implementation efficiency of the sample code included with c++ Code. Effecient implementation of k-means algorith, kd tree and local search strategy are implementd to improve the effeciency, samples are included to show how to use it. All codes are implemented in C++.
Update : 2024-05-14 Size : 907264 Publisher : 陈明

k-meansy算法源代码。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.-k-meansy algorithm source code. This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANSprogram accepts input consisting of vectors and calculates the givennumber of cluster centers using the K-means algorithm. Output isdirected to the screen.
Update : 2024-05-14 Size : 31744 Publisher :

聚类算法包,包括K-Means,性能好,有例程-Clustering algorithm package, including K-Means, a good performance, there are routines
Update : 2024-05-14 Size : 969728 Publisher : haibo zheng

kmeans算法实现 a simple k-means clustering routine. returns the cluster labels of the data points in an array.-algorithm kmeans realize a simple k-means clustering routine.returns the cluster labels of the data points in an array.
Update : 2024-05-14 Size : 2048 Publisher : sisn

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用gabor滤波器,K-means聚类的方法实现对图像进行纹理分割。-Using gabor filters, K-means clustering approach to achieve texture segmentation of images.
Update : 2024-05-14 Size : 48510976 Publisher : 黎维娟

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数据挖掘算法很多,其中模糊k均值算法是目前使用比较多的分类方法-Many data mining algorithms, including fuzzy k-means algorithm is currently using a relatively large number of classification methods
Update : 2024-05-14 Size : 3072 Publisher : 张云

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聚类分析最基本的K均值算法的C语言实现程序-Cluster analysis of the basic K-means algorithm of C language procedures realize
Update : 2024-05-14 Size : 2048 Publisher : 王璐瑶

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聚类分析最基本的K均值算法的C++语言实现程序-Cluster analysis of the basic K-means algorithm C++ Language procedures realize
Update : 2024-05-14 Size : 1024 Publisher : 王璐瑶

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k-均值聚类 小算法实例 (将8组4维数据分成6类)-k-means clustering algorithm for examples of small (to 8 Group 4 dimensional data into 6 categories)
Update : 2024-05-14 Size : 1024 Publisher : 姜波

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数据挖掘算法。K-Means聚类数据挖掘算法。该算法是用Java语言编写的。-Data mining algorithms. K-Means clustering algorithm for data mining. The algorithm is a Java language.
Update : 2024-05-14 Size : 41984 Publisher : 张志娟

K-Means是k_中心点法的聚类过程代码。-K-Means is the focal point for law k_ code clustering process.
Update : 2024-05-14 Size : 4096 Publisher : huanghubang

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.
Update : 2024-05-14 Size : 2048 Publisher : 西晃云

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Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Generates sample from Gaussian mixture model. gsamp - Generates sample from Gaussian distribution. cmeans - C-means (or K-means) clustering algorithm. mahalan - Computes Mahalanobis distance. pdfgauss - Computes probability for Gaussian distribution. pdfgmm - Computes probability for Gaussian mixture model. sigmoid - Evaluates sigmoid function.-Probability distribution functions. estimation- (dir) Probability distribution estimation. dsamp- Generates samples from discrete distribution. erfc2- Normal cumulative distribution function. gmmsamp- Generates sample from Gaussian mixture model. gsamp- Generates sample from Gaussian distribution. cmeans- C-means (or K-means) clustering algorithm. mahalan- Computes Mahalanobis distance. pdfgauss- Computes probability for Gaussian distribution. pdfgmm- Computes probability for Gaussian mixture model. sigmoid- Evaluates sigmoid function.
Update : 2024-05-14 Size : 21504 Publisher : 林枫

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本代码主要对 K_means 算法用java语言实现 .对需要java kmeans同志很帮助! 并附有测试文件!-This code mainly K_means algorithm using java language. Java kmeans need is to help comrades! With a test file!
Update : 2024-05-14 Size : 29696 Publisher : liunengxian

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聚类分析算法中的最基本的K均值算法C++实现程序-Cluster analysis algorithm of the basic K-means algorithm C++ Realize procedures
Update : 2024-05-14 Size : 1024 Publisher : 李超

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改进的k均值算法,可以加速运行时间,详见Using the Triangle Inequality to Accelerate k-Means-Improved k-means algorithm, can accelerate the running time, see Using the Triangle Inequality to Accelerate k-Means
Update : 2024-05-14 Size : 13312 Publisher : xz

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一个实现K均值聚类的程序,VC++编程环境,还有文档说明,非常实用-A realization of K-means clustering procedure, VC++ Programming environment, as well as documentation, very useful
Update : 2024-05-14 Size : 87040 Publisher : 王子

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
Update : 2024-05-14 Size : 3072 Publisher : zhangyan

matlabK-C
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这是一个K中心点聚类算法C实现的,希望对大家有用-K this is a clustering algorithm C to achieve a focal point, and I hope useful for everyone
Update : 2024-05-14 Size : 2048 Publisher : 黎艺行

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现有的几个网络拓扑随机发生器,其实很难生成理想的网络拓扑结构,其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法,在随机抛撒节点的时候使用了K均值聚类,由本算法作为网络拓扑发生器,网络节点分布均匀且疏密得当,边的分布也比较均衡-The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of
Update : 2024-05-14 Size : 2048 Publisher : ben
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