Fuzzy string matching in R. Inspired by Python's thefuzz (but without the Python).
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Updated
May 24, 2024 - R
Fuzzy string matching in R. Inspired by Python's thefuzz (but without the Python).
R package for large-scale similarity/distance computation
This code generate partitions for a multilabel dataset using the Jaccard Index similarity measure. We use HCLUST with 6 linkage metrics to generate several partitions. You may build the partition with the highest coefficient. This code also provide an analysis about the partitioning.
Information Theory and Distance Quantification with R
This code generate partitions for a multilabel dataset using the Rogers-Tanimoto similarity measure. We use HCLUST with 6 linkage metrics to generate several partitions. You may build the partition with the highest coefficient. This code also provide an analysis about the partitioning.
This code is part of my Ph.D. research. The aim is generate similarity matrices from similarity measures.
An R package which implements many measures for (graph) partition comparison
Similarity and distance measures for clustering and record linkage applications in R
Entity resolution research project looking at what can be enabled by construing it as a problem of calibration from similarity to log-odds of a true match.
Novel ultrafast suite for high-throughput & high-content multiparameter screening as in drug discovery. It has unique modules for QC, bias correction, similarity measurement, clustering and visualization. It can process hundreds of samples with many markers in a few hours not days & circumvents bath effect. It couples with any plate reader.
Text matching using fuzzy algorithms: Jacard dist and Cosine similarity
High performance similarity and distance metrics for sparse representations
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