搜索资源列表
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中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。
MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab
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基本的k-means聚类算法c++实现，对于理解算法的过程非常有帮助。 Basic implementation of k-means algorithm with c++, it is very helpful to understand the procedure of k-means algorithm.
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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 imple
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the C++ implementation of k-means for clustering
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k均值聚类算法的C++实现，在VC2003下调试通过。-k-means clustering algorithm C++ implementation, the VC2003 debug through.
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用vc++很好的实现了K均值聚类算法的研究，这是一完整的用VC++实现的程序，有效地完成了模式识别-Using vc++ achieved a very good K-means clustering algorithm, which is a complete implementation using VC++ program, the efficient completion of the pattern recognition
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k-means及Isodata 聚类算法的实现，用c++代码实现，输入数据为Iris，输出分类类结果。
包含Iris数据及所有头文件和.cpp文件。-Isodata k-means clustering algorithm and implementation, using c++ code implement,. the input data is the Iris, the output classification class results.
contains Iris d
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聚类算法的C++实现，实现了一维点的聚类，命令行输入-Clustering algorithm C++ implementation to achieve the one-dimensional point of the cluster, the command line enter
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聚类算法中的经典k均值用c++实现的，测试结果还不错-Classical clustering algorithm k means in c++ implementation with the test results is not bad
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实现了k-means极其改良算法，提高了聚类的精度。内附详细文字说明及源代码，配有图形界面演示。-The implementation of k-means algorithm and its plus.Improve the accuration of clustering.The document and source are both added.
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均值计算方法源码实现：分群的方法，就改成是一个最佳化的問題，換句话說，我們要如何选取 c 个群聚以及相关的群中心，使得 E 的值为最小。
-Method of calculating the mean source implementation: clustering method, based on the best change is a problem, in other words, how do we choose c a center cluster and related g
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k-means算法的c++实现，写的比较不错，传上来加加分-k-means algorithm c++ implementation, written in relatively good transfer points up Gaga
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java实现的K-means聚类算法，结合swing，带有界面功能，操作简单直观-java implementation of K-means clustering algorithm, combined with the swing, with interface features simple, intuitive operation
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这个是k-means算法的完整实现 k-means 算法是数据聚类算法中比较经典的算法，非常适合初学者-this code is a implementation of k-means algorithm；it is suitable for beginner.
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matlab实现的k均值聚类算法，能对不同维度的数据进行聚类，有测试程序，欢迎下载-k-means clustering algorithm matlab implementation, capable of clustering data in different dimensions, with a test program, welcome to download
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Implementation of K-MEANS classification of 2D data of this code, the high speed
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数据挖掘的聚类算法实现
Implementation of text clustering algorithms including K-means, MBSAS, DBSCAN-data mining cluster
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K-d树实现。采用matalb和C++混合编译的方式实现。-kdtree provides a minimalistic implementation of kd-tree.
The implementation can be used either inside MATLAB by means
of MEX calls, or as a standalone tool, directly a C/C++
program.
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k-means聚类算法的代码实现，只需要更改数据就可以实现，而且有注释，很容易懂(The code implementation of the k-means clustering algorithm can be realized only by changing the data, and there are notes that make it easy to understand)
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通过python实现了k-means分类。(The python implementation of the K-means classification.)
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