模式识别技术-绘制散点图-三维数据（问题四）

%导入数据 data = hw1p4data; %求数据的均值向量 AverageVector = mean(data,1); %求数据的协方差矩阵 CovarianceMatrix = cov(data); %求高斯分布数据集 mu = AverageVector; SIGMA =CovarianceMatrix; GaussMatrix = mvnrnd(mu,SIGMA,4996) subplot(3,1,1), plot(GaussMatrix(:,1),GaussMatrix(:,2),'r+'),title('1vs2','color','b','FontName', 'Arial', 'FontSize', 16,'FontWeight','Normal'); subplot(3,1,2), plot(GaussMatrix(:,1),GaussMatrix(:,3),'k+'),title('1vs3','color','b','FontName', 'Arial', 'FontSize', 16,'FontWeight','Normal'); subplot(3,1,3), plot(GaussMatrix(:,2),GaussMatrix(:,3),'b+'),title('2vs3','color','b','FontName', 'Arial', 'FontSize', 16,'FontWeight','Normal');