How to using PCA or LDA to classify data (wine dataset)?

7 次查看(过去 30 天)
Hello everyone, I really need your advice or help about using PCA or LDA in matlab to classify data (in this case is wine dataset) which downloaded from UCI repository. Could anyone show me the script, or at least the similiar one? thanks..

采纳的回答

Rob Campbell
Rob Campbell 2013-6-25
PCA is used for dimensionality reduction and to help you visualise higher dimensional data. On its own it is not a classification tool. If you have access to the Statistics Toolbox then you can use the "classify" function which runs discriminant analyses. I suggest you work through the example in the help and then see if you can apply it to your data: http://www.mathworks.co.uk/help/stats/classify.html

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Dimensionality Reduction and Feature Extraction 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by