Approximate string matching and Locality-sensitive hashing

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Approximate string matching and Locality-sensitive hashing

Approximate string matching vs. Locality-sensitive hashing

In computer science, approximate string matching (often colloquially referred to as fuzzy string searching) is the technique of finding strings that match a pattern approximately (rather than exactly). Locality-sensitive hashing (LSH) reduces the dimensionality of high-dimensional data.

Similarities between Approximate string matching and Locality-sensitive hashing

Approximate string matching and Locality-sensitive hashing have 4 things in common (in Unionpedia): Acoustic fingerprint, Anti-spam techniques, Locality-sensitive hashing, String metric.

Acoustic fingerprint

An acoustic fingerprint is a condensed digital summary, a fingerprint, deterministically generated from an audio signal, that can be used to identify an audio sample or quickly locate similar items in an audio database.

Acoustic fingerprint and Approximate string matching · Acoustic fingerprint and Locality-sensitive hashing · See more »

Anti-spam techniques

Various anti-spam techniques are used to prevent email spam (unsolicited bulk email).

Anti-spam techniques and Approximate string matching · Anti-spam techniques and Locality-sensitive hashing · See more »

Locality-sensitive hashing

Locality-sensitive hashing (LSH) reduces the dimensionality of high-dimensional data.

Approximate string matching and Locality-sensitive hashing · Locality-sensitive hashing and Locality-sensitive hashing · See more »

String metric

In mathematics and computer science, a string metric (also known as a string similarity metric or string distance function) is a metric that measures distance ("inverse similarity") between two text strings for approximate string matching or comparison and in fuzzy string searching.

Approximate string matching and String metric · Locality-sensitive hashing and String metric · See more »

The list above answers the following questions

What Approximate string matching and Locality-sensitive hashing have in common
What are the similarities between Approximate string matching and Locality-sensitive hashing

Approximate string matching and Locality-sensitive hashing Comparison

Approximate string matching has 32 relations, while Locality-sensitive hashing has 40. As they have in common 4, the Jaccard index is 5.56% = 4 / (32 + 40).

References

This article shows the relationship between Approximate string matching and Locality-sensitive hashing. To access each article from which the information was extracted, please visit:

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