搜索资源列表
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3下载：
tf-idf用于文档聚类，权重计算，用MATLAB实现的，自己编写非常好用！,tf-idf for Document Clustering, weight calculation, use MATLAB to achieve, I have written is very easy to use!
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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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just for testing to upload ,,is there anyone have about document clustering , plz help me plz
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k-中心与qpso算法的结合，从文档中读取对象数据，没有维限制。需要设定类别数，先由k-中心计算出各类中心，然后由qpso优化，得到聚类结果，并保存聚类信息。-algorithm for k-medians and qpso combination of object data read from the document, there is no dimension restrictions. Need to set the number of categories, first calcul
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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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A Model-based Document Clustering Toolbox
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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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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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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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通过Matlab程序，将word文档中词义相近的词语聚类，并分析计算聚类后不同类别词语的频数。-By Matlab procedures, the word document clustering words of similar meaning, and to analyze the frequency of different types of words after computing clusters.
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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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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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已调制信号计算其普相关密度，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。- Modulated signals to calculate its density Pu-related, Can realize the two-dimensional data clustering, Based on multi-document image obtained combining technique.
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本文件为常见聚类算法测试数据集 ，UCI上常用的聚类算法数据集(This document is a common clustering algorithm test data set.)
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