Weka is the important tool for pattern reco gnition. Here are some source code analysis, including many important algorithms, which have certain specifications and are available for reference.

Weka[17] 关联规则之Apriori.pdf
Weka[18] 寻找K个邻居.pdf
Weka[19] NaiveBayes源代码分析.htm
Weka[20] IB1源代码分析.pdf
Weka[21] IBk源代码分析.pdf
Weka[22] REPTree源代码分析.pdf
Weka[23] PART源代码分析.pdf
Weka[24] Apriori源代码分析.pdf
Weka[25] Bagging源代码分析.pdf
Weka[26] Voting源代码分析.pdf
Weka[27] SMO源代码分析.pdf
Weka[28] EM源代码分析.pdf
weka[29] Logistic源代码分析.pdf
Weka[30] VotedPerceptron源代码分析.pdf
Weka[31] crossValidation源代码分析.pdf
Weka[32] PCA源代码分析.pdf
Weka[33] SimpleLinearRegression源代码分析.pdf
Weka[34] LWL源代码分析.pdf
Weka[35] StringToWordVector源代码分析.pdf
Weka[36] InfoGainAttributeEval源代码分析.pdf
Weka[37] Chi-square源代码分析.pdf
Weka[-1] Use Weka in your Java code.pdf
Weka[0] 如何将weka导入eclipse.pdf
Weka[1] Instances类.pdf
Weka[2] Classifier类.pdf
Weka[3] Evaluation类.pdf
Weka[4] 特征选择.pdf
Weka[5] 半监督算法.pdf
Weka[6] 参数传递.pdf
Weka[7] LibSVM.pdf
Weka[8] ID3源代码分析.pdf
Weka[9] SimpleKMeans源代码分析.pdf
Weka[10] NBTree源代码分析.pdf
Weka[11] J48源代码分析.pdf
Weka[13] Ensemble.pdf
Weka[14] Adaboost 源代码分析.pdf
Weka[15] ZeroR 源代码介绍（入门篇）.pdf
Weka[16] OneR源代码介绍.pdf

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