C# fast chart aproximate comparison algorithm -


i have 2 series of values. showing them in chart, quite similar (they have same behavior, when 1 grows, other 1 grows, when 1 has small values, other has small values; but: may occur 1 growing , other descending). important not have strictly same values. interested in general behavior of these 2 charts.

right now, comparing them doing average on both graphs, , building 2 bool arrays. when value above average, corresponding value in bool[] true, otherwise false. compare these 2 bool[], using hamming distance. algorithm works, not wished work. (it doesn't detect matches between charts).

does have idea of better algorithm performing operation?

thank you.

a simple way of calculating distance between 2 lists of numbers calculate sum of squares of differences between them. used quite in statistics.

double sum = 0.0; (int = 0; < n; i++) {     double diff = a[i] - b[i];     sum += diff*diff; }

but fundamental question is, kind of statement expecting such analysis.

another possibility calculate correlation coefficient between 2 series. coefficient of +1 means 2 series fit 100%, 0 means there no apparent relation between 2 series , -1 means pure opposite of each other.


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