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和同学一起写的层次聚类算法,数据挖掘的第3次大作业,有设计文档,有注释,下载即可运行。希望批评指正-And students to write with hierarchical clustering algorithms, data mining, the 3rd largest operations, with some design documents, with annotations, download to run. Want to criticize the correction
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a book for Survey of Clustering Data Mining Techniques
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这是关于数据挖掘技术中的聚类算法的一个源代码,用c++编的-tihs is about clustering algorithm of data mining field writing by c++
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基于K-Means动态聚类算法,应用于数据挖掘-Based on Dynamic K-Means clustering algorithm, used in data mining
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基于k均值、c均值等聚类算法,应用于数据挖掘-Based on the mean k, c means clustering algorithm, etc., used in data mining
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数据挖掘中聚类算法的研究,主要研究了DBSCSN算法,此为其源码-Clustering algorithm in data mining research, a major study DBSCSN algorithm, the source of its
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数据挖掘中聚类算法DBSCAN中部分程序finalpaint的C++实现-DBSCAN clustering algorithm in data mining process finalpaint some of the C++ Implementation
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用C++实现k-mean聚类算法并进行初级的数据挖掘,-Using C++, k-mean clustering algorithm and a preliminary data mining,
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数据挖掘建模工具,轻易实现BP神经网络、RBF神经网络、灰色系统、决策树、决策表、贝叶斯、懒惰算法、支持向量机、K均值聚类、Apriori关联规则、HotSpot关联规则、回归分析、指数平滑、季节移动平均及组合等算法建模。-Data mining modeling tools, easy to achieve BP neural network, RBF neural network, gray system, decision tree, decision table, Bayesian, l
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数据挖掘的基本内容--有分类,聚类,预测等,还有算法介绍-Elements of data mining- a classification, clustering and prediction, as well as algorithms introduced
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本文章题目是《数据挖掘中的聚类算法综述》,很适合初学者!-The article entitled " Clustering Data Mining Algorithms" , it is suitable for beginners!
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数据挖掘的方法,包括聚类算法,多维数组分析和数据挖掘模型的设计和实现-Data mining methods, including clustering, multi-dimensional array of analysis and data mining models in the design and implementation
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基于FCM的数据聚类分析及Matlab 实现
戈国华, 肖海波, 张敏
( 江西理工大学信息工程学院江西赣州341000 )
【摘要】: 聚类是数据挖掘中常用的数据分析技术。本文详细介绍了FCM聚类算法的理论和实现步骤。并用Matlab 演
示了FCM用于数据聚类。结果表明FCM算法是一种高效的数据聚类算法, 有很广泛的应用。-FCM clustering analysis based on the data and Matlab implementation Ge Guohua
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用双聚类的方法进行数据挖掘,能够从数据中得到相类似的数据,以待进一步利用这些数据-Double clustering methods for data mining, data can be obtained from similar data, pending further use of these data
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BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamic
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本程序可以实现图像k均值聚类在数据挖掘中的相关算法。计算出图像的直方图-This program can image k means clustering in data mining correlation algorithm. Calculate the histogram
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数据挖掘 图像聚类处理
最终结果是每个簇生成一张图片-Image clustering data mining process to generate the final result is a picture of each cluster
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K-means算法是最为经典的基于划分的聚类方法,是十大经典数据挖掘算法之一。K-means算法的基本思想是:以空间中k个点为中心进行聚类,对最靠近他们的对象归类。通过迭代的方法,逐次更新各聚类中心的值,直至得到最好的聚类结果。-K-means algorithm is based on the division of the classic clustering method, is ten classic one of data mining algorithm. K-means the
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变色龙算法,很经典的一个算法,适合于研究数据挖掘的朋友下载,用于聚类研究.-Chameleon algorithm, a classic algorithm for data mining research of friends to download, for clustering.
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数据挖掘Kmeans算法C/C++语言实现。
提供接口让使用者可以指定输入输出文件、聚类结果中类别个数、中心点计算方式、初始化方法。-Kmeans,data mining algorithms,C/C++language.
Provides the interface so that users can specify the input and output file, type in the number of clustering results, the center of ca
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