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模式识别中的聚类k均值算法用C++ builder编码实现是cpp文件-pattern recognition of k-means clustering algorithm coded in C builder realization of the document cpp
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k-中心聚类算法的matlab实现。直接读取文档数据，没有维限制。,k-Medoids clustering algorithm matlab implementation. Document data read directly, there is no dimension restrictions.
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改文件是用C++来实现kmeans的算法，学过模式识别的人都知道这个算法的，是用来实现数据的聚类-Is used to document C++ to achieve kmeans algorithms, pattern recognition to learn the people know this algorithm is used for data clustering
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this document is about clustering. many method that can do for clustering.
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该文件包含了一般的FCM聚类算法和改进的FCM聚类算法-The document contains a general FCM clustering algorithm and the improved FCM clustering algorithm
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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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k-means均值聚类分析代码可以实现二维文件的读入，以及文件的输出，还可以根据需要选择聚类中心数-k-means clustering analysis of two-dimensional code can read the file, and document output, but also can select the number of cluster centers
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流形学习，局部线性嵌入式算法(LLE)，一种智能的算法去推测捕捉高维空间中所包含的低维特征。与适合于局部维数约减的聚类算法不同，LLE算法在单一的低维的全域坐标系统中表征采样空间，然而它并没有优化最小局域。通过对线性重构的局域对称的研究应用，LLE能够描述非线性流形的全局结构，例如那些人脸的数据集或者文本文档集-Manifold learning, embedded local linear algorithm (LLE), an intelligent algorithm to predict
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该文档属于模式识别中的聚类算法的研究之一，层次聚类。对层次聚类不了解的可以参考该文献-The document belongs to one of the clustering algorithms in pattern recognition and hierarchical clustering. Someone do not understand the reference to the literature on hierarchical clustering
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matlab的聚类，此文件主要是在电信套餐生成时使用-matlab clustering, document generation telecommunications packages
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该文档是对聚类算法评价的综述。希望对亲能有所帮助。-The document is an overview of the evaluation of the clustering algorithm. Pro can be helpful.
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基于聚类的K中心点算法，附带说明文档，代码简单高效，很好的利用了矩阵的代数运算。数学思想较为高深，但通过仔细研读说明文档和动手操作，matlab数学分析能力可以得到有效的提高-K medoids clustering annotated document, the code is simple and efficient, good use of matrix algebra operations. Mathematical thinking is more profound, but by c
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利用蚁群算法实现聚类的功能，效果显著.这里既有文档的说明也有具体的程序。-Ant colony clustering algorithm functions, the effect is significant. Here both the descr iption of the document, there are specific procedures.
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主要是用来K均值聚类，K值按照自己的需要设置并将聚类结果保存到相应目录下的excel文档中-Mainly used K-means clustering, K value is set according to their needs and clustering results are saved to the appropriate directory under the excel document
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利用PLSI算法自动对一个文档集进行聚类，需要调节聚类的维度K值，从而得到最大的likelihood-PLSI automatically using an algorithm for clustering document set needs to be adjusted to the dimension value of K clusters, to obtain the maximum likelihood
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K-means K均值聚类算法，不是用工具箱编的，对随机产生的数据进行聚类。压缩文件包括m函数、包含主程序和子函数的word文档。-K-means clustering algorithm, not with the toolbox series of randomly generated data clustering.M functions including compressed files, containing the main program and subroutines word
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基于欧几里得距离的聚类分析，一种基于多文档得图像合并技术，进行波形数据分析。- Clustering analysis based on Euclidean distance, Based on multi-document image obtained combining technique, Waveform data analysis.
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包括最小二乘法、SVM、神经网络、1_k近邻法,可实现对二维数据的聚类，一种基于多文档得图像合并技术。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Can realize the two-dimensional data clustering, Based on multi-document image obtained combining technique.
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该文件主要是用于聚类方法来求得聚类准确率，并保证每次的结果准确。-The document clustering method is mainly used to obtain the clustering accuracy, and ensure accurate results every time.
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generat bloom filter
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