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基于WEKA平台的文本聚类研究与实现
文本聚类是文本挖掘领域的一个重要研究分支,是聚类方法在文本处理领域的应用。本文对基于空间向量模型的文本聚类过程做了较深入的讨论和总结,利用文本语料库,基于数据挖掘工具研究并实现了文本聚类的过程。本文首先给出了文本聚类的思想和过程,回顾了文本聚类领域的已有成果,列举了文本聚类领域在特征表示、特征提取等方面的基础研究工作。另外,本文回顾了现有的文本聚类算法,以及常用的文本聚类效果评价指标。在研究了已有成果的基础上,本文利用20 Newsgroup文本语料库,
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该代码能够实现K均值聚类算法对彩色图像分割,在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.
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k均值聚类算法源码,比较经典,无解压密码-k means clustering algorithm source code, more classic, without extracting passwords
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基于K—Means的中文文本聚类算法的研究和实现。中文文本聚类的主要技术,特征选择,共享最近邻的K-Means的改进算法。基于k-Means的实现和实验。-Based on the Chinese version of K-Means clustering algorithm and implementation. The main technology of Chinese Text Clustering, feature selection, shared nearest neighbor
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经典的K-means聚类算法,其中用到了tf-idf权值计算方法。-Classic K-means clustering algorithm,Among them the use of the tf-idf right value calculation method.
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包括K-均值聚类算法的思想介绍,kmeans的MATLAB代码,c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorit
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k均值聚类算法代码 用于模式识别等学科的编程应用-k-means clustering algorithm code for pattern recognition applications such as programming disciplines
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高斯k均值程序算法,k-means是一种常用的聚类算法,可以实现数据的聚类。-K-means algorithm for Gaussian process, k-means clustering algorithm is a commonly used, can achieve data clustering.
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K均值聚类算法实现有二维的聚类扩展到任意维样本点的聚类,代码中附加了详细的原理性说明,还有相关例子提示,效果不错-K-means clustering algorithm to achieve a two-dimensional clustering extends to any dimension of the cluster sample points, the code attached to the principle of detailed instructions, and tips
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k-means算法是模式识别十大算法之一 matlab仿真的k-means聚类算法-k-means algorithm for pattern recognition algorithm is one of the top ten k-means clustering algorithm
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用于实现k-means聚类分析的matlab代码-Used to implement k-means clustering analysis matlab code
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用于实现K-MEANS聚类分析的C++代码-Used to implement the K-MEANS clustering analysis of the C++ code
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粒子群与K均值聚类的混合算法,值得拥有。-PSO and the hybrid K-means clustering algorithm, worth having.
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聚类程序,采用K均值聚类算法的小程序,通过调试,-Clustering procedure, using K-means clustering algorithm a small program, through debugging,
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k-means算法实现,数据挖掘中经常用到的聚类分析算法。是最经典的常用算法。-k-means algorithm, cluster analysis algorithm often used in data mining. Is the most classic of common algorithms.
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k-means聚类算法讲解,详细阐述了K-means的原理和应用-K-means interpretation of the clustering algorithm, and expounds the k-means of principle and application
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K-means聚类算法,用于文件、数据的聚类分析-K-means clustering algorithm for document clustering analysis of the data
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简单的K均值聚类函数,用于求算重心的函数,算法高效快速-Simple K-means clustering function for calculating the center of gravity function, the algorithm is fast and efficient
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k均值算法是模式识别的聚分类问题,采用模糊C均值对数据集data聚为cluster_n类 -k-means algorithm is a pattern recognition poly classification,by using Fuzzy C-Means data sets, data gathered cluster_n class
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模式识别算法程序 K均值算法
主要是实现了K均值聚类分析算法,能够实现对图像的自动分类和识别。-Pattern recognition algorithm K-means algorithm K-means clustering analysis algorithms can achieve automatic image classification and identification.
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