Examples of 'edit distance' in a sentence
Meaning of "edit distance"
edit distance: Edit distance is a metric used in computer science and linguistics to quantify the similarity between two strings of characters. It calculates the minimum number of operations required to transform one string into another, with operations like insertions, deletions, or substitutions of characters
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- Synonym of string distance.
How to use "edit distance" in a sentence
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edit distance
Minimum edit distance of three bases or higher.
And almost all errors are within edit distance of two.
Graph edit distance defines a distance function between graphs.
Known as the edit distance.
The first one is based on a regularisation operator using graph edit distance.
Other variants of edit distance are obtained by restricting the set of operations.
And we are going to operationalize similar spelling as having a small edit distance to the error.
The edit distance.
So I have just shown you candidates that are within edit distance of one.
Two textures are compared by a robust edit distance for a better characterization of the palm.
The edit distance can be a Hamming distance.
So most algorithms either consider just edit distance one or edit distance two possible candidates.
The edit distance is called also Levenshtein distance.
Take for example the edit distance between CA and ABC.
The edit distance of the molecular barcodes of the library adapters can be a Hamming distance.
See also
This number is called the edit distance between the string and the pattern.
When data can be corrupted or deleted, the best measurement to use is edit distance.
Error correctable counters have an edit distance that allows detection of a given number of errors.
Graph edit distance finds applications in handwriting recognition, fingerprint recognition and cheminformatics.
In such circumstances, restricted and real edit distance differ very rarely.
And that version of edit distance is now called Damerau-Levenshtein edit distance.
In the context of structured data, strings or trees, we mainly use the edit distance.
We use the tree edit distance to compare two RNA-MiGaLs.
Finally, the last part aims to define two graph kernels based on graph edit distance.
Typically edit distance is used as the measure of similarity (or distance) between two strings.
For this, we first explore the use of an edit distance between tree graphs.
Likewise, graph edit distance is also a generalization of tree edit distance between rooted trees.
Single - or complete-linkage agglomerative hierarchical clustering was used with Levenshtein edit distance as the metric.
Edit distance between modes, rather than the Euclidean distance.
Another possibility is to minimize the edit distance between sequences, introduced by Vladimir Levenshtein.
Comparison of file comparison tools Computer-assisted reviewing Data differencing Delta encoding Document comparison Edit distance.
Well, we have seen edit distance before.
Edit distance to use, override sug-mode default.
It turns out that 80 percent of spelling errors are within edit distance of one.
This edit distance can use labels to consider additionalinformation, with the operation called ' substitution '.
Computing E ( m, j ) is very similar to computing the edit distance between two strings.
Time Warp Edit Distance ( TWED ) is a distance measure for discrete time series.
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