How to draw a flowchart for gaussianKernel function?

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function sim = gaussianKernel(x1, x2, sigma)
%RBFKERNEL returns a radial basis function kernel between x1 and x2
% sim = gaussianKernel(x1, x2) returns a gaussian kernel between x1 and x2
% and returns the value in sim
x1 = x1(:); x2 = x2(:);
% return the following variables correctly.
sim = 0;
% ====================== YOUR CODE HERE ======================
%
sim = exp(-((sum((x1-x2).^2))/2*sigma^2)));
% =============================================================
end

回答(1 个)

arushi
arushi 2023-12-29
Hi Muhan,
I understand that you want to draw a flowchart for the code. To draw a flowchart for the gaussianKernel function, you would represent the sequence of operations performed by the function. Here is a textual description of the flowchart that you can then drawl:
  1. Start: The starting point of the flowchart.
  2. Input Parameters: Receive x1, x2, and sigma as inputs.
  3. Ensure Column Vectors: Convert x1 and x2 into column vectors if they are not already.
  4. Initialize sim: Set the initial value of sim to 0.
  5. Compute Difference: Calculate the element-wise difference between x1 and x2 (i.e., x1 - x2).
  6. Element-wise Squaring: Square each element of the difference computed in the previous step.
  7. Sum Squared Differences: Take the sum of the squared differences.
  8. Divide by 2*sigma^2: Divide the sum from the previous step by 2*sigma^2.
  9. Calculate Exponential: Compute the exponential of the negative of the value obtained in the previous step to get sim.
  10. Output sim: Return the value of sim.
  11. End: The ending point of the flowchart.
In a visual flowchart, these steps would be represented by various shapes like rectangles for processing steps, parallelograms for input/output, and diamonds for decision points (though there are none in this function). Arrows would connect the shapes to indicate the flow of operations.
Here is the documentation link for drawing the flowchart –
Hope this helps.
Thank you

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