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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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多层混合距离算法，Document for the Matlab code for Multi-layer mixture clustering-Document for the Matlab code for Multi-layer mixture clustering
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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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数据挖掘 （DBSCAN）密度聚类 ,包括聚类数据，文档描述，源代码-(DBSCAN) density clustering data mining, including data clustering, a document descr iption, the source code
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可实现对二维数据的聚类，采用了小波去噪的思想，一种基于多文档得图像合并技术。- Can realize the two-dimensional data clustering, Using wavelet denoising thought, Based on multi-document image obtained combining technique.
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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，计算加权加速度。- Can realize the two-dimensional data clustering, Based on multi-document image obtained combining technique, Weighted acceleration.
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Document summarizer approach for the text document to do clustering and then do summarization
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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，采用波束成形技术的BER计算。- Can realize the two-dimensional data clustering, Based on multi-document image obtained combining technique, By applying the beam forming technology of BE.
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k-means和k-mediods的JAVA实现。直接读取文档数据，适用于二维数据。-k-means and k-Medoids clustering algorithm JAVA implementation. Document data read directly,suitable for two-dimensional data.
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document of clustering and reusefactor
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matlab实现的DBSCAN聚类分析，通过文件输入数据，不同的颜色代表一类数据(Matlab implementation of DBSCAN clustering analysis, through the document import data, different colors represent a category of data)
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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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