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- 采用粗糙集理论实现连续数据的离散化,对理解数据的离散化有很大帮助-Using rough set theory to realize continuous data discretization
learn_struct_K2
- 本程序是贝叶斯网络结构学习的K2算法程序，可获取离散变量的贝叶斯网络-This procedure is K2 Bayesian network structure learning algorithm program, available discrete variables Bayesian Network
KNN
- KNN算法，用于数据挖掘中数据离散化处理-K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning
fenjieceng
- 对四层二维离散小波进行信息熵计算，通过对比低频子带信息熵的差值求解最佳分层数，希望对大家能有所帮助-For four-dimensional discrete wavelet information entropy calculated by comparing the difference between the low-frequency sub-band information entropy solving optimum number of layers, in the hope th
DPSO
- 离散粒子群算法。粒子群算法原来只能处理连续变量，算法进行了改进，可以处理离散变量-Discrete particle swarm optimization algorithm, particle swarm optimization algorithm can only deal with continuous variables, the algorithm is improved, can handle discrete variables
decisionTree
- 一个决策树的java实现版本，用于实现对离散和连续问题两种问题- Java implementation of a decision tree version, for the realization of discrete and continuous problems of two kinds of problems
wwrdsubcjtss
- 几个快速傅立叶变换算法 离散傅里叶变换(DFT)()
discretization
- 多种连续变量离散化方法，并且对每种算法的原理进行介绍(A variety of discrete method of continuous variable and the principle of each algorithm is introduced.)
562160
- 离散01串问题 « 问题描述： (n,k)01 串定义为：长度为n 的01 串,其中不含k 个连续的相同子串,对于给()