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Form1.cs是应用聚类算法DBSCAN (Density-Based Spatical Clustering of Application with Noise)的示例，可以通过两个参数EPS和MinPts调节聚类。DBSCAN.cs是全部算法的实现文件，聚类算法的进一步信息请参考“数据挖掘”或者相关书籍。聚类示例数据来自于sxdb.mdb，一个Access数据库。-Form1.cs clustering algorithm is applied DBSCAN (Density-Based
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C-均值聚类算法的挖掘软件,用于数据挖掘,很不错的实用软件.-C-means clustering algorithm mining software for data mining, very good utility software.
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Web数据挖掘ID3算法源码,使用C++语言编写而成，具有高效性。-Web data mining ID3 algorithm source, the use of C language, prepared with high efficiency.
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数据挖掘的决策树算法，C语言实现，可直接运行。-Data Mining Decision Tree Algorithm, C language and can run.
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C语言实现的数据挖掘的频繁项算法，可直接运行。-C Language Data Mining Frequent algorithm can run.
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蚁群算法在数据挖掘中的应用的源程序，希望对大家有所帮助。-ant algorithm in data mining of the source files, we hope to help.
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Delphi 数据挖掘基因算法包 很好用-Delphi gene data mining algorithm with a good package
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Delphi Pascal 数据挖掘领域算法包 数值算法大全-Delphi Pascal data mining algorithms package volumes of numerical algorithm
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各种数据挖掘算法的源代码，很齐全，很好用的阿！-data mining algorithm source code is very comprehensive and good use of A!
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数据挖掘导论中的K近邻聚类算法，用C++编写而成。-Introduction to Data Mining of the K neighbors clustering algorithm, using C++ has been prepared by.
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《集体智慧编程》这本书的源码，里面包含数据挖掘方面的一些算法，包括遗传算法，费舍尔算法，决策树等-" The collective wisdom of programming source code of this book, which contains the data mining aspects of algorithms, including genetic algorithms, Fisher algorithm, decision tree
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蚁群算法源代码，无须修改便可以直接编译执行-Ant colony algorithm source code, no need to change the implementation can be directly translated
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模糊聚类虽然能够对数据聚类挖掘，但是由于网络入侵特征数据维数较多，不同入侵类别间的数据差别较小，不少入侵模式不能被准确分类。本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类.rar-Although capable of clustering data clustering mining, but due to network intrusion feature data dimension of more and different types of data betwee
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实现数据挖掘的十大算法之一K-Means算法的程序代码-One of the top ten data mining algorithm K-Means algorithm code
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adaboost算法是数据挖掘的其中之一，希望可以帮助到更多人。-adaboost algorithm is one of data mining, hope to help more people.
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Algorithm k-means is a simple iterative clustering algorithm, which divides the set of data to a user-specified number of clusters, k. The algorithm is simple to implement and run relatively fast, easily adaptable and common in practice. It is his
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