pca贡献率3维图matlab代码

PCA贡献率是用来衡量主成分分析中每个主成分对总方差的贡献程度的指。下面是使用MATLAB绘制PCA贡献率的3D图的代码示例：

% 生成示例数据
data = randn(100, 10);

% 计算主成分分析
[coeff, score, latent] = pca(data);

% 计算贡献率
explained = latent ./ sum(latent);

% 绘制3D图
figure;
scatter3(explained(1), explained(2), explained(3), 'filled');
xlabel('1st Principal Component');
ylabel('2nd Principal Component');
zlabel('3rd Principal Component');
title('PCA Explained Variance Ratio');

% 显示贡献率数值
text(explained(1), explained(2), explained(3), ...
    sprintf('%.2f', explained(1)), 'FontSize', 10);
text(explained(1), explained(2), explained(3), ...
    sprintf('%.2f', explained(2)), 'FontSize', 10);
text(explained(1), explained(2), explained(3), ...
    sprintf('%.2f', explained(3)), 'FontSize', 10);

% 相关问题: