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Decision-Tree-classifier15
- Decision Tree classifier by train and test
mackeyglass
- 产生两种makeglass数据,一定比例分割train、predict所言数据- generate make glass data
knn
- KNN简单分类算法C++的实现,大家可以参考下,采用欧式距离,里面包含了knn.cpp以及train.txt,test.txt,rusult.txt-Classification algorithm (KNN), the realization of the c++, you can reference, USES the Euclidean distance, which contains the KNN, CPP and train. TXT, test. TXT, rusult. TXT
sklearn-tree-BN-knn
- 分类器的性能比较与调优: 使用scikit-learn 包中的tree,贝叶斯,knn,对数据进行模型训练,尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较,分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the dat
ELM_样例
- 极限学习机(Extreme Learning Machine, ELM)用来训练单隐藏层前馈神经网络(SLFN)与传统的SLFN训练算法不同,极限学习机随机选取输入层权重和隐藏层偏置,输出层权重通过激活函数函数,依据Moore-Penrose(MP)广义逆矩阵理论计算解析求出。(Extreme learning machine (ELM) is used to train single hidden layer feedforward neural network (SLFN). Differe