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.
Last updated
clustering-evaluationentity-resolutionevaluation-metricslink-predictionrecord-linkagecpp
5.62 score 15 stars 1 dependents 92 scripts 280 downloadscomparator - 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.
Last updated
clusteringdistance-measuresdistance-metricsentity-resolutionrecord-linkagesimilarity-measuresstring-similaritycpp
4.80 score 19 stars 66 scripts 676 downloads