Taxonomy of nominal type histogram distance measures
Sung-Hyuk Cha · 2008
Distance or similarity measures are of fundamental importance to pattern classification, clustering, and information retrieval problems. Various distance/similarity measures that are applicable to compare two nominal type histograms are reviewed and categorized in both syntactic and semantic relationships. A correlation coefficient and a hierarchical clustering technique are adopted to reveal similarities among numerous distance/similarity measures.