Data Mining (algorithm overview link)

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Http://blog.csdn.net/column/details/datamining.html

A popular understanding of the LDA topic model

http://blog.csdn.net/v_july_v/article/details/41209515

Talking about Bayesian networks from the Bayesian approach

http://blog.csdn.net/v_july_v/article/details/40984699

Talking about spectral clustering from Laplace matrix

http://blog.csdn.net/v_july_v/article/details/40738211

The principle and derivation of Adaboost algorithm

http://blog.csdn.net/v_july_v/article/details/40718799

Mathematical deduction in the maximum entropy model

http://blog.csdn.net/v_july_v/article/details/40508465

Probability theory and mathematical statistics knowledge required in data mining

http://blog.csdn.net/v_july_v/article/details/8308762

The KD tree and SIFT+BBF algorithm are discussed from K nearest neighbor algorithm and distance measure

http://blog.csdn.net/v_july_v/article/details/8203674

A popular introduction to support vector machines (understanding the three-tier realm of SVM)

http://blog.csdn.net/v_july_v/article/details/7624837

The Bayesian classification algorithm, EM and HMM are discussed from the decision tree learning.

http://blog.csdn.net/v_july_v/article/details/7577684

Machine learning Reading Conference, interview algorithm lecture, entrepreneurial activity, algorithm class (November 14)

http://blog.csdn.net/v_july_v/article/details/7237351

Research on ten classical algorithms in Data mining field

http://blog.csdn.net/v_july_v/article/details/6142146

Data Mining (algorithm overview link)