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这篇文章只是一个类似于知识概括的文章#xff0c;主要作用是帮忙梳理#xff1a;
1) 分类
贝叶斯模型#xff08;Bayesian Mode#xff09; - 朴素贝叶斯算法#xff08;Naive Bayesian Mode#xff09; - 平均单依赖估计#xff08;AveragedO…机器学习方法分类总结
这篇文章只是一个类似于知识概括的文章主要作用是帮忙梳理
1) 分类
贝叶斯模型Bayesian Mode - 朴素贝叶斯算法Naive Bayesian Mode - 平均单依赖估计AveragedOne-Dependence Estimators AODE - Bayesian Belief NetworkBBNK-邻近 k-Nearest NeighborKNN支持向量机SupportVector Machine SVM径向基网络RBF network之BP监督训练决策树Decision Trees - 分类及回归树ClassificationAnd Regression Tree CART - ID3C4.5CART - 卡方自动交互检测法chi-squared automatic interaction detector, CHAID - 决策树桩单层决策树Decision Stump - 多元自适应回归MARS - 梯度提升树算法增强树GBM神经网络Neural Networks集成算法 - Boosting - Bootstrapped AggregationBagging - AdaBoost - 堆叠泛化Stacked Generalization Blending - 随机森林Random Forest
2) 回归
线性回归Linear Regression最小二乘法OrdinaryLeast Square逻辑回归 Logistic Regression多项式回归Polynomial Regression逐步回归Stepwise Regression 缩减方法岭回归Ridge RegressionL2稀疏约束Least Absolute Shrinkage and Selection OperatorLASSOL1弹性网络Elastic Net多元自适应回归样条MultivariateAdaptive Regression Splines本地散点平滑估计Locally Estimated Scatterplot Smoothing
3) 聚类
K-MeansK均值聚类期望最大化算法Expectation Maximization EM均值漂移聚类Mean-Shift Clustering基于密度的聚类DBSCAN凝聚层次聚类Hierarchical Clustering图团体检测(Graph Community Detection)学习矢量量化Learning Vector Quantization LVQ自组织映射算法Self-Organizing Map SOM
4) 降维
主成份分析PrincipleComponent Analysis PCA拉普拉斯特征映射Laplacian EigenmapsLE局部保留投影Locality Preserving ProjectionsLPP多维尺度缩放Multi-Dimensional Scaling, MDS等度量映射Isometric MappingIsomap)局部线性嵌入Locally Linear EmbeddingLLE线性判别分析Linear Discriminant AnalysisLDA偏最小二乘回归Partial Least Square RegressionPLS 关联规则分析
Apriori算法Eclat算法
人工神经网络
感知器神经网络PerceptronNeural Network反向传递Back PropagationHopfield网络自组织映射Self-OrganizingMap, SOM学习矢量量化Learning Vector Quantization LVQ
深度学习
受限波尔兹曼机RestrictedBoltzmann Machine RBNDeep Belief NetworksDBN卷积网络Convolutional Network堆栈式自动编码器Stacked Auto-encoders
