Sentence examples for between two strings is from inspiring English sources

The edit distance between two strings is expressed as the minimum edit operations required to transform a text t1 to another text t2 or vice versa.

The distance between two strings is zero if they are exactly the same.

The p-spectrum kernel between two strings is given by the corresponding Euclidean dot product (Leslie et al., 2002).

One lower bound on the edit distance between two strings is the difference in the lengths of the two strings.

One way of defining distance between two strings is to look at the amount of change they needed to do to one to obtain the other.

Edit distance between two strings is the minimum number of edit operations that have to be performed to transform the first string into the second.

For comparing time-series as represented by symbolic representations of varying lengths, we investigate the following two distance measures: Levenshtein distance measure (LD) [ 43]: Given a source string s and a target string t, the LD between the two strings is defined as the number of deletions, insertions, or substitutions required to transform s into t.

The higher the Jaro-Winkler distance for two strings is, the more similar the strings are.

These two strings are then matched.

Therefore, the similarity between two strings can be approximated by using the Bloom filters alone.

The Jaro-Winkler distance is a measure of similarity between two strings, and it is a variant of the Jaro distance metric [ 23, 24].