How to extract the scatter data based on a function

I have a scatter data as attached image follows, how to sign the data outside the function line with '1' and the data under the function line with '0' then save it into one variable?

1 件のコメント

joynjo
joynjo 2018 年 7 月 21 日
Up, I am still waiting for anyone who can help me solve this problem, thanks

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回答 (1 件)

Image Analyst
Image Analyst 2018 年 7 月 18 日

0 投票

I have no idea what "sign the data" with 0 or 1 means, but to get the data under and above/outside the function, try something like this
indexesUnderTheCurve = false(1, length(x));
for k = 1 : length(x)
thisX = x(k);
thisY = y(k);
curveY = YourFunction(thisX); % Plug the x into your custom function
if thisY < curveY
% Under the curve
indexesUnderTheCurve(k) = true;
end
end
xUnder = x(indexesUnderTheCurve);
yUnder = y(indexesUnderTheCurve);
xOver = x(~indexesUnderTheCurve);
yOver = y(~indexesUnderTheCurve);

5 件のコメント

joynjo
joynjo 2018 年 7 月 18 日
thanks for your reply I follow your code with the below function line: myfunction=@(x,y)k+l(1)*x+l(2)*y+q(1,1)*x.^2+(q(1,2)+q(2,1))*x.*y+q(2,2)*y.^2 but in this case, the function consist from x and y, hence when I only put 'myfunction(thisX), it will result an Error message 'Not enough input arguments'
Image Analyst
Image Analyst 2018 年 7 月 18 日
Please attach a .mat file that you create with save() with your x and y and class information.
joynjo
joynjo 2018 年 7 月 19 日
編集済み: joynjo 2018 年 7 月 21 日
I follow this reference
Please kindly find the function and x y data as attached. Actually, it is Quadratic Discriminant Analysis for image. x is Discriminant-1 and y is Discriminant-2 image data. I need to recognize pattern on this image by classifying into 2 categories: 1st class is under curve and 2nd class is over curve then show them into a binary image.
Would you please help how to save undercurve and overcurve data?
Image Analyst
Image Analyst 2018 年 7 月 21 日
To help me from transferring all that code, can you attach your m-file?
joynjo
joynjo 2018 年 7 月 21 日
編集済み: joynjo 2018 年 7 月 21 日
please kindly find m file for my QDA classification as attached included with the related files.

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2018 年 7 月 18 日

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