What is the right algorithm to detect segmentations of a line chart? [closed]

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Closed 4 years ago.

To be concrete, given 2D numerical data as is shown as line plots below. There are peaks on a background average movement (with small vibrations). We want to find the values of pairs (x1, x2) if those peaks drops down to average; or (x1) only if the line doesn't back to the average.

There are thousands of such 2D data.

What is the right statistic or machine learning algorithm to find x1 and x2 above without plotting?

回答1:

Note that this is not an exact answer.

I seriously have no idea what you are trying to do. But I can suggest you a way. Assuming that there is only one peak in the graph and you have all the 2D points data i.e; (X1,Y1)...(Xn,Yn)...

Try calculating the differences between the Y values of adjacent points and get the minimum value if you are doing Y_n-1 - Y_n (which indicates starting point of the peak). Similarly, get the maximum value which indicates the points with the decreasing peak.

来源：https://stackoverflow.com/questions/31010553/what-is-the-right-algorithm-to-detect-segmentations-of-a-line-chart