rbf预测matlab代码-MatlabMachineLearning:使用MATLAB实现经典的机器学习算法

上传者: 38678022 | 上传时间: 2022-12-12 16:06:27 | 文件大小: 5.42MB | 文件类型: ZIP
rbf预测数学代码机器学习 使用MATLAB的经典机器学习问题的算法 没有使用机器学习包 Scratch提供的所有自行编写的源代码。 包含的主题: - Nearest Neighbor Methods (KNN Classification/Regression) - Clustering (K-Centers, DP-Centers) - Linear Methods: - LDA and Ridge Regression - Logistic Regression (SGD) - Support Vector Machine (SSGD) - Dimensionality Reduction using PCA - Kernel for SVM & Clustering 分类 Logistic回归和随机梯度下降算法 训练数据集:3个类,R ^ 4中的功能 SGD算法在迭代中的学习进展: 具有RBF内核的Binary-SVM 培训数据集和结果决策边界: SSGD算法在迭代中的学习进展: K最近邻居算法 训练数据集: 通过KNN算法进行的预测: 聚类 K均值算法 聚类结果:K = 3

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