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k中心点算法，也就是PAM算法。是数据挖掘中聚类分析的一种手段，用途广泛。-k center algorithm, i.e. PAM algorithm. Data mining is a means of cluster analysis, and versatile.
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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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数据挖据决策树算法ID3算法java实现，包含引用文件，简单易懂-Data Mining Decision Tree Algorithm ID3, simple and easy to understand by java, contains references to files
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R语言聚类算法，数据挖掘，可以直接运行！！欢迎下载-R language clustering algorithm, data mining, can be directly run!!!!!Welcome to download
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java写的k最邻近算法，是数据挖掘的基本算法之一。-Java write the k nearest neighbor algorithm, is one of the basic algorithm of data mining.
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CART是决策树算法的一种，是数据挖掘的重要组成部分。-CART is a decision tree algorithm, is an important part of data mining.
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EM算法是数据挖掘算法之一，有兴趣的可以来学习。-EM algorithm is one of data mining algorithms, interested can learn.
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基于matlab的数据挖掘工具箱，包括了几乎全部当前常见的数据分类算法-Matlab based data mining toolbox, including almost all of the current common data classification algorithm
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数据聚类算法 kmeans 算法 ,使用MATLAB实现，文中的代码注释为中文，更易于实现-data mining algorithm , clustering algorithm , k_means algorithm
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运用R语言进行数据挖掘算法设计与运算，能够提升R语言学习能力与数据挖掘算法应用能力-R language use data mining algorithm design and operation, it is possible to enhance the R language learning and data mining algorithms application capabilities
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实现Apriori算法，应用于如下的数据（给定参数），挖掘频繁项集
-an example for Apriori algorithm in data mining
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This a one of the data mining algorithm completly made by me. This is based on feature subset selection. One of the popular algorithm of feature selection named Fast Correlation based feature selection algorithm(FCBF).It s complete code is here with
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本代码是关于数据挖掘的层次聚类算法的编程实例，请勿用于商业用途上-The code is the programming examples on data mining hierarchical clustering algorithm, not for commercial use
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数据挖掘算法，FP-Tree算法VS实现-The data mining algorithm, FP-Tree algorithm VS implementation
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数据挖掘 Apriori关联规则算法 产生频繁项集 完整，有数据、文档，源代码-Apriori association rule data mining algorithm produces frequent itemsets is complete, there are data, documentation, source code
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常用的一些数据挖掘算法，包括Apriori,SVM,神经网络，遗传算法，K-means。-some commonly used data-mining algorithms,including Apriori,SVM,Neural Network，Genetic algorithm，K-means
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用于数据挖掘分类的算法，E-Alothm，并附有10个左右的KEEL专用数据集，算法实现+实际例程。-For the data mining classification algorithm, E-Alothm, and with 10 or so KEEL dedicated data set, the algorithm to achieve+ practical routines.
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这是一个数据挖掘的算法模型，可以实现多维度、多数据、多分类的数据分析。包含对样本和数据的预处理算法，LM神经网络算法和DT决策树算法，并对两种模型进行评价的算法。-This is a data mining algorithm model, you can achieve multi-dimensional, multi-data, multi-class data analysis. Including the preprocessing algorithm for samples and d
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一种数据挖掘算法：部分最小二乘法（PLS)，实测无误，适合初学(A data mining algorithm: the partial least square method (PLS), which is unmistakable and suitable for the initial study)
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一种神经网络算法：极限学习机（ELM)，包括分类和回归，仿真验证无误，适合初学者练习(A data mining algorithm: limit learning machine (ELM), including classification and regression, simulation verification is unmistakable, suitable for beginners to practice)
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