matlab画出相关性分析图

在MATLAB中，可以使用heatmap函数来绘制相关性分析图。首先，加载数据并计算维度之间的相关系数。然后，使用heatmap函数绘制热图，并设置相关参数。最后，保存图片。以下是MATLAB代码示例：

% 加载数据
data_load = dlmread('E:\scanplot\wine.data');
data = data_load(:,2:14);
\[N, D\] = size(data);

% 求维度之间的相关系数
rho = corr(data, 'type', 'pearson');

% 绘制热图
string_name = {'Alcohol','Malic acid','Ash','Alcalinity of ash','Magnesium','Total phenols','Flavanoids','Nonflavanoid phenols','Proanthocyanins','Color intensity','Hue','Diluted wines','Proline'};
xvalues = string_name;
yvalues = string_name;
h = heatmap(xvalues, yvalues, rho, 'FontSize', 10, 'FontName', 'Times New Roman');
h.Title = 'Correlation Coefficient';
colormap(jet)

% 保存图片
saveas(gcf, sprintf('wine相关系数热图.jpg'), 'bmp');

这段代码会加载数据，计算相关系数，并绘制出相关性分析的热图。最后，将图片保存为"wine相关系数热图.jpg"。
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