%0 Journal Article
%@ 1793-6314
%A Cha, Sung-Hyuk
%A omputer Science Department, Pace University, 861  Bedford rd, Pleasantville, NY 10570 USA,
%D 2007
%F epos:1372
%I World Scientific Publishing
%J International Journal of Mathematical models and Methods in Applied Sciences
%K Distance,  Histogram,  Probability  Density  Function,  Similarity
%N 4
%P 300-307
%T Comprehensive Survey on Distance/Similarity  Measures between Probability Density Functions
%U https://episodesplatform.eu/eprints/1372/
%V 1
%X 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.