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 |
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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 |
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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 |
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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-The achievement of K-MEAN classical clustering algorithm, code written norms, simple interface, it is also useful Platform: |
Size: 2048 |
Author:ming |
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Description: k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-In statistics and machine learning, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. It is similar to the expectation-maximization algorithm for mixtures of Gaussians in that they both attempt to find the centers of natural clusters in the data. Platform: |
Size: 1024 |
Author:zhanguo |
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Description: In statistics and machine learning, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. It is similar to the expectation-maximization algorithm for mixtures of Gaussians in that they both attempt to find the centers of natural clusters in the data as well as in the iterative refinement approach employed by both algorithms. Platform: |
Size: 3072 |
Author:Lee Sangmin |
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Description: Performs Procustes point alignment on a group of point sets. Method rigidly aligns, shifts, and scales points to reduce mean square error.
Method is described in:
B. Klare, P Mallapragada, A.K. Jain, and K. Davis, "Clustering Face Carvings: Exploring the Devatas of Angkor Wat", in Proceedings International Conference on Pattern Recognition (ICPR), 2010.
http://www.cse.msu.edu/~klarebre/docs/ICPR_AW.pdf-Performs Procustes point alignment on a group of point sets. Method rigidly aligns, shifts, and scales points to reduce mean square error.
Method is described in:
B. Klare, P Mallapragada, A.K. Jain, and K. Davis, "Clustering Face Carvings: Exploring the Devatas of Angkor Wat", in Proceedings International Conference on Pattern Recognition (ICPR), 2010.
http://www.cse.msu.edu/~klarebre/docs/ICPR_AW.pdf Platform: |
Size: 1024 |
Author:B |
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Description: 一个简单的k均值聚类例程，适合数据挖掘初学者练习(A simple K mean clustering routines, practice for data mining beginners.) Platform: |
Size: 4096 |
Author:fire2008
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Description: 进行图像像素的聚类分析，采用k-mean聚类分析，速度比MATLAB快5倍之多。(Cluster analysis of image pixels, using K-mean clustering analysis, the speed is faster than MATLAB 5 times more.) Platform: |
Size: 9528320 |
Author:a12543
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Description: 利用matlab实现k均值聚类算法，亲自调试通过，对于学习k均值聚类算法有很大帮助(Using MATLAB to achieve K means clustering algorithm, personally debugging through, for learning K mean clustering algorithm is very helpful) Platform: |
Size: 3072 |
Author:kuangk1992
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Description: 聚类分析算法 k均值算法 对地图上的点进行聚类事例(Clustering analysis algorithm k mean algorithm for clustering of points on maps) Platform: |
Size: 2048 |
Author:Akakun |
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Description: 克服K均值聚类算法易受初始聚类中心影响的缺点，优化K均值聚类算法(The K mean clustering algorithm is easily affected by the initial cluster center, and the K mean clustering algorithm is optimized.) Platform: |
Size: 23552 |
Author:记得sayhi |
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Description: 包含了RBF源代码，可以用于RBF神经网络编程，其中包括RBF聚类，K均值聚类等(It includes the RBF source code, which can be used for RBF neural network programming, including RBF clustering, K mean clustering, etc.) Platform: |
Size: 8192 |
Author:小梦321 |
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Description: 使用R语言进行聚类分析的例子，包括层次聚类，k均值聚类，密度聚类等(Examples of clustering analysis using R language, including hierarchical clustering, K mean clustering, density clustering, etc.) Platform: |
Size: 2048 |
Author:yyuan15 |
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Description: 根据网上基于划分法k-means的聚类算法，我做了改进。可以预设一个最大的类数和一个半径，自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divide appropriate classes. Finally, the random 3D point cloud will be displayed in different colors after clustering.) Platform: |
Size: 1024 |
Author:woyaokaobo |
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Search - k-mean clustering