R-universe search: topic:entity-resolution

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cleanzr

clevr:Clustering and Link Prediction Evaluation in R

Tools for evaluating link prediction and clustering algorithms with respect to ground truth. Includes efficient implementations of common performance measures such as pairwise precision/recall, cluster homogeneity/completeness, variation of information, Rand index etc.

Maintained by Neil Marchant. Last updated 2 years ago.

clustering-evaluation entity-resolution evaluation-metrics link-prediction record-linkage cpp

12 stars 4.77 score 49 scripts

ngmarchant

comparator:Comparison Functions for Clustering and Record Linkage

Implements functions for comparing strings, sequences and numeric vectors for clustering and record linkage applications. Supported comparison functions include: generalized edit distances for comparing sequences/strings, Monge-Elkan similarity for fuzzy comparison of token sets, and L-p distances for comparing numeric vectors. Where possible, comparison functions are implemented in C/C++ to ensure good performance.

Maintained by Neil Marchant. Last updated 3 years ago.

clustering distance-measures distance-metrics entity-resolution record-linkage similarity-measures string-similarity cpp

18 stars 4.63 score 47 scripts