Principal Component Analysis for Iris Setosa data (50x4 matrix) from Fisher (1936)

版本 1.0.0.0 (3.5 KB) 作者: John
The code produces a Pareto chart, Loadings Plots, and Bi-plots of the Iris data imported as a table.
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更新时间 2015/9/29

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The code works fine. The data points need to be numbered 1 through 50. You can see where I tried to use 'ObsLabels',num2cell(1:50)' to label the points in the figure. I placed a % in front of each location I am trying to use ObsLabels to label the points. Any 50x4 matrix of numbers in an Excel spreadsheet will work for this demonstration. Deciding to use the Iris Setosa data was arbitrary. Any information on how to add to this code so that the sample number appears with each symbol in the Bi-plots would be much appreciated.

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John (2024). Principal Component Analysis for Iris Setosa data (50x4 matrix) from Fisher (1936) (https://www.mathworks.com/matlabcentral/fileexchange/53283-principal-component-analysis-for-iris-setosa-data-50x4-matrix-from-fisher-1936), MATLAB Central File Exchange. 检索时间: .

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版本 已发布 发行说明
1.0.0.0

uploaded the Matlab code that runs correctly but % used to show what failed to label the data points.