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数据挖掘经典算法实现。使用这个算法分别对图片和DBLP上面学者的合作关系图进行了聚类，然后评估聚类的结果。算法实现用的java，DBLP的数据的搜集和预处理是用Python编写。-Classical data mining algorithm. Using this algorithm, respectively, pictures and cooperation between scholars DBLP above graph clustering, and then evaluate th
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kmeans 聚类算法，主要用来对一堆数据形成他们的码本-k-means clustering is a method of vector quantization originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which ea
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K-均值聚类算法，是一种随机选取数个数据中心进行点聚类处理进而生成分类的数据挖掘算法，具有很好的学习功能。-K-means clustering algorithm is a randomly selected number of data center point clustering process thereby generating classification data mining algorithms, with good learning function.
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数据挖掘k-均值聚类算法
VC6.0测试通过-Data mining k-means clustering algorithm VC6.0 test
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数据挖掘kmeans图像聚类实验,用 VC 或 Java 实现 k-means 聚类算法， 分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验） 提交实验报告与源代码-Data mining kmeans image clustering experiments, using VC or Java implementation of k-means clustering algorith
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数据挖掘kmeans图像聚类实验,用 VC实现 k-means 聚类算法， 分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验）,提交实验报告与源代码-Kmeans image clustering data mining experiments with VC k-means clustering algorithm, respectively, the number of itera
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MATLAB 数据挖掘算法，fuzzy-K-means聚类算法源-MATLAB data mining algorithms, fuzzy-K-means clustering algorithm source
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数据挖掘kmeans图像聚类实验,用VC实现 k-means 聚类算法-Kmeans image clustering data mining experiments with VC k-means clustering algorithm
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聚类分析又称群分析，它是研究（样品或指标）分类问题的一种统计分析方法，同时也是数据挖掘的一个重要算法-Clustering analysis is also called group analysis, which is the study of (samples or indexes) classification problem a method of statistical analysis is also an important algorithm of data mining
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关于数据挖掘与隐私保护的源代码及论文，主要用到k-means的聚类分析-About Data Mining and Privacy Protection of the source code and papers, mainly used k-means clustering analysis
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数据挖掘的作业使用K-means聚类算法 使用的是synthetic_control.data数据集-Data mining operations using K-means clustering algorithm using data sets synthetic_control.data
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matlab kmeans code for clustering of data.this can be used for data mining applications
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数据挖掘算法 dbscan 基于密度的聚类算法 它将簇定义为密度相连的点的最大集合，能够把具有足够高密度的区域划分为簇，并可在噪声的空间数据库中发现任意形状的聚类-Data mining algorithms dbscan density-based clustering algorithm will cluster is defined as the density of points connected to the largest collection of regional divisi
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一个联通的数据挖掘 电信领域的一个网站，基于tomcat，jsp，实现聚类，分类，过滤等功能-A Unicom field of telecommunications data mining a site based tomcat, jsp, to achieve clustering, classification, filtering and other functions
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k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the clu
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数据挖掘实验一包括对类别进行聚类，并且进行实现输出-Data mining experiment a category including clustering, and conducted to achieve the output
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Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory
clustering are mainly based on density and Euclidean distance measures. We argue that when the utility of spatial clustering of
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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-means算法是文本聚类经典算法，也是数据挖掘十大经典算法之一。k-means算法Java实现。-k-means algorithm is a classical algorithm text clustering, data mining is one of the ten classic algorithms. k-means algorithm is implemented in Java.
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the third file is about data mining in stream clustering
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