机器学习降维算法pca-阿里云

[帮助文档] 机器学习线性支持向量机算法组件的配置及示例

支持向量机SVM（Support Vector Machine）是基于统计学习理论的一种机器学习方法，通过寻求结构风险最小化，提高学习机泛化能力，从而实现经验风险和置信范围最小化。本文介绍线性支持向量机算法组件的配置方法及使用示例。

机器学习——降维算法PCA

以下是使用PCA算法处理实际问题的例子，同样使用鸢尾花数据集，目的依旧是完成降维任务基本的流程如下：1.数据预处理，只有数值数据才可以进行PCA降维2.计算样本数据的协方差方阵3.求解协方差矩阵的特征值和特征向量4.将特征值按照从大到小的顺序排列，选择其中较大的K个，然后将其对应的K个特征向量组成投...

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【人工智能】机器学习及与智能数据处理之降维算法PCA及其应用手写字体识别以及【自定义数据集】

降维算法PCA及其应用利用PCA算法实现手写字体识别，要求：1、实现手写数字数据集的降维；2、比较两个模型（64维和10维）的准确率；3、对两个模型分别进行10次10折交叉验证，绘制评分对比曲线。实验步骤1. 导入数据集from sklearn.datasets import load_digits...

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更新时间 2023-04-18 14:43:40

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