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algorithm for grouping data based on values

I have a series of plots looking like this:

在此处输入图片说明

The raw data looks like:

dataPoint_1, dataPoint_2,dataPoint_3,...
23, 22, 56, ...
14, 13, 68, ...

In above diagram, some data points have values close to each other (red, pink, black...) and some are far away from others (green, blue...) And data is keep coming, so the lines are growing longer. Is there an algorithm that can help me find which data points (lines in the diagram) are close and which are not? Not sure whether some statistics algorithms fit into this problem ?

Try Euclidean. Clearly, the difference between these series is substantial.

You can also try DTW (Dynamic Time Warping) but I'm not sure it adds much here.

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