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经典Apriori算法的优化，并在商场消费者消费数据集上进行测试，挖掘频繁模式-Optimization of classical Apriori algorithm, and tested in store consumer data sets, frequent pattern mining
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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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实现了关联规则中最经典的Apriori算法，并提供了实例文件。-It implements most classical association rules Apriori algorithm, and provides examples of documents.
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字符串的编辑距离也被称为Levenshtein距离（Levenshtein Distance），一般用动态规划来实现。属于经典算法。-Edit distance of the string is also known as the Levenshtein distance (Distance Levenshtein), the general use of dynamic programming to achieve. Belong to the classical algorithm.
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数据挖掘中的经典算法apriori。输入项集和最小支持度，输出频繁项集。-Data Mining the classical algorithm apriori. Entry and set minimum support, output frequent item sets.
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数据挖掘中经典的KNN（K-最近邻）算法，导入即可运行-Data Mining the classical KNN (K- nearest neighbor) algorithm, you can import operation
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经典的ELM算法，适合做小样本回归预测，亲测有用，亲测有效-The classical ELM algorithm, suitable for small sample regression, pro test useful, pro test effective
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遥感影像变化检测经典算法(IR-MAD、MAD、CVA、PCA),另外进行了算法的Demo和精度等计算评价（OA、Kappa、AUC、ROC）-Remote sensing image change detection classical algorithm (IR-MAD, MAD, CVA, PCA), were additionally algorithms and calculation accuracy Demo Assessment (OA, Kappa, AUC, ROC)
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