java-string-similarity | Java library that implements several algorithms | Learning library
kandi X-RAY | java-string-similarity Summary
kandi X-RAY | java-string-similarity Summary
java-string-similarity that calculates a normalized distance or similarity score between two strings. A score of 0.0 means that the two strings are absolutely dissimilar, and 1.0 means that absolutely similar (or equal). Anything in between indicates how similar each the two strings are.
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Top functions reviewed by kandi - BETA
- Returns the similarity of two strings
- Calculates the similarity of two strings
- Gets the set of characters which are within the given limits
- Computes the length of the common prefix between two strings
- Returns the number of transpositions between two strings
- Computes the similarity of two strings
- Splits the string into several bigrams
- Compares two similarity scores
- Gets the value of the score property
- Computes the edit distance of two strings
- Compute the edit distance between two strings
- Get the hash code for this object
- Determines if the supplied object matches the supplied object
- Returns the similarity of a single feature
java-string-similarity Key Features
java-string-similarity Examples and Code Snippets
Community Discussions
Trending Discussions on java-string-similarity
QUESTION
I am using MongoDB 4.2 and trying to upgrade my spring boot version from 1.5.9.RELEASE to 2.0.3.RELEASE. The maven surefire plugin version is 2.22.0.
I am getting following error while doing maven clean install -U,
...ANSWER
Answered 2020-Jun-11 at 07:07What version of spring-data-mongodb
are you using? I assume that the newer version of spring boot is not backward compatible with spring-data-mongodb
.
QUESTION
Let's say we have n strings in strs
. You compare all the strings together, full permutation (n^2) and build an nxn matrix where each cell is the similarity score between 2 strings (i, j).
How do I take this a step further and group them into buckets? Practically, I'm expecting these strings to be similar/fall into a bucket -- but there's a chance some new ones might not, so I want to find the closest resemblance or recalculate the buckets.
...ANSWER
Answered 2020-Feb-06 at 07:13Maybe you could use a HashTable type of approach where you store similar strings (i.e. having scores in the range [score - bucket_size, score + bucket_size) ) in the same bucket.
The buckets would just be an array of (linked) lists of all strings having similar scores as defined above.
Ideally you would want to keep the lists in the buckets small and use an exponential grow algorithm to increase the number of buckets as needed. When you grow you would rehash your table.
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