A distance-based algorithm measuring the minimum number of single-character edits (insertions, deletions, substitutions) needed to change one string into another.
Levenshtein Distance is a foundational distance-based string matching algorithm used in fuzzy matching. It is widely considered the best algorithm for measuring the distance between two strings.
The measure of distance is defined as the minimum number of single-character edit operations (insertions, deletions, or substitutions) required to transform one string into the other. This makes it highly effective for approximate matching, handling typos, and minor spelling differences. It is used in SEO for tasks like redirect mapping and mapping broken 404 URLs to live pages.
Sources & References
Explore other ML Models & Algorithms terms
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BERT (Bidirectional Encoder Representations from Transformers)
The foundational language model used for transformer-based embeddings in BERTopic.
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BERTopic
An unsupervised machine learning approach for topic modeling that generates interpretable topics and performs dynamic…
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BERTopic
An unsupervised machine learning approach for topic modeling that generates interpretable topics and performs dynamic…
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BIRCH (Balanced Iterative Hierarchical Based Clustering)
A hierarchical clustering method efficient for large datasets and time series.
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Boyer-Moore
An exact string-matching algorithm and one of the best-known pattern recognition algorithms.
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c-TF-IDF
Class-based Term Frequency-Inverse Document Frequency; used by BERTopic for clearer topic representation and selection of…
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DBSCAN
Density-Based Spatial Clustering of Applications with Noise; groups data points based on density. Useful for…
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Decision Tree
An early, simple model for classification or regression.
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Distance-based matching
Fuzzy matching methods focusing on "edit distance" rather than exact spelling.
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DistilBERT (Refined Query Semantic Class Classifier)
A fine-tuned BERT model used for semantic class classification based on queries.
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Encoder Model
A machine learning model used in Google's two-step process for building and maintaining the Knowledge…
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Fuzzy Matching / Fuzzy String Matching
A string similarity assessment approach, typically relying on character distance rather than semantics, used to…