Superlatively Fast Fuzzy Joins


[Up] [Top]

Documentation for package ‘zoomerjoin’ version 0.1.5

Help Pages

dime_data Donors from DIME Database
em_link Fit a Probabilistic Matching Model using Naive Bayes + E.M.
euclidean_anti_join Fuzzy joins for Euclidean distance using Locality Sensitive Hashing
euclidean_curve Plot S-Curve for a LSH with given hyperparameters
euclidean_full_join Fuzzy joins for Euclidean distance using Locality Sensitive Hashing
euclidean_inner_join Fuzzy joins for Euclidean distance using Locality Sensitive Hashing
euclidean_left_join Fuzzy joins for Euclidean distance using Locality Sensitive Hashing
euclidean_probability Find Probability of Match Based on Similarity
euclidean_right_join Fuzzy joins for Euclidean distance using Locality Sensitive Hashing
hamming_anti_join Fuzzy joins for Hamming distance using Locality Sensitive Hashing
hamming_distance Calculate Hamming distance of two character vectors
hamming_full_join Fuzzy joins for Hamming distance using Locality Sensitive Hashing
hamming_inner_join Fuzzy joins for Hamming distance using Locality Sensitive Hashing
hamming_left_join Fuzzy joins for Hamming distance using Locality Sensitive Hashing
hamming_probability Find Probability of Match Based on Similarity
hamming_right_join Fuzzy joins for Hamming distance using Locality Sensitive Hashing
jaccard_anti_join Fuzzy joins for Jaccard distance using MinHash
jaccard_curve Plot S-Curve for a LSH with given hyperparameters
jaccard_full_join Fuzzy joins for Jaccard distance using MinHash
jaccard_hyper_grid_search Help Choose the Appropriate LSH Hyperparameters
jaccard_inner_join Fuzzy joins for Jaccard distance using MinHash
jaccard_left_join Fuzzy joins for Jaccard distance using MinHash
jaccard_probability Find Probability of Match Based on Similarity
jaccard_right_join Fuzzy joins for Jaccard distance using MinHash
jaccard_similarity Calculate Jaccard Similarity of two character vectors
jaccard_string_group Fuzzy String Grouping Using Minhashing