partial numerical array - pattern matching

I have a linear numerical array source and I want to find/match test array as pattern :

source = [39,36,23,21,28,36,30,22,34,37]
test = [36,23,21,28]

we can use brute force or similar method for finding the exact match, by checking test array from index 0 to len(source)-len(test)

but in our problem, we can accept this pattern too ( order is important )

test = [36,24,21,28] // changed 23 to 24

since we have many different ways of solving this problem ( maybe fuzzy!), I want to know the title of some solutions.

Topic numerical fuzzy-classification time-series

Category Data Science


According to your definition (consecutive, order matters, max +/-2 difference), it's not a fuzzy matching case. It's just a minor variant of searching a subsequence:

for i=0 to len(source)-len(test) {
  j=0
  while (j<len(test)) && (abs(source[i+j]-test[j]) <= 2) {
    j++
  if (j == len(test)) { 
     // match found
  }
}

This is the simple version, in case efficiency is an issue there is a more efficient version using dynamic programming.

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