Classify

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Austin
Austin 2011-7-13
回答： Kenta 2020-3-31
Hello,
I have not run across anything with the Classify function that indicates the number of observations for each group must be equivalent. This has been done previously using LDA (ie Altman z-score paper) but I just want to be clear it is not required using this function.
Thanks
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Austin
Austin 2011-7-14
To clarify, I want to be sure it is able to weight each of the separate groups based on their size when discriminating between them. Thanks

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回答（2 个）

Veera Kanmani
Veera Kanmani 2018-4-20
https://www.mathworks.com/videos/an-introduction-to-classification-68891.html
Kenta
Kenta 2020-3-31
For example, in Support Vector Machine (SVM), you can specify the weitht of each class by defining some parameters such as cost and prior. I am not sure if my answer can response to what you intended to ask, but I hope it can help you.
If you impose a great penalty if A is classified into B, such inference will not happen a lot. When the number of images (sample) which belong to class A is much greater, many test images might be classified into A. In that case, you can weight each class.
https://jp.mathworks.com/help/stats/fitcecoc.html

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