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 1 years ago
clustering-evaluationentity-resolutionevaluation-metricslink-predictionrecord-linkagecpp
4.77 score 12 stars 49 scripts 342 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 3 years ago
clusteringdistance-measuresdistance-metricsentity-resolutionrecord-linkagesimilarity-measuresstring-similaritycpp
4.63 score 18 stars 47 scripts 396 downloads