clustering

deduplipy.clustering.hierarchical_clustering(scored_pairs_table, col_names, cluster_threshold=0.5)

Apply hierarchical clustering to scored_pairs_table and perform the actual deduplication by adding a cluster id to each record

Args:

scored_pairs_table: Pandas dataframe containg all pairs and the similarity probability score col_names: name to use for deduplication cluster_threshold: threshold to apply in hierarchical clustering

Returns:

Pandas dataframe containing records with cluster id