Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions

. International Journal of Mathematical Models and Methods in Applied Sciences 1 (4): 300--307 (2007)


Distance or similarity measures are essential to solve many pattern recognition problems such as classification, clustering, and retrieval problems. Various distance/similarity measures that are applicable to compare two probability density functions, pdf in short, 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.

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