%0 Journal Article
%1 cha2007comprehensive
%A Cha, Sung-Hyuk
%D 2007
%J International Journal of Mathematical Models and Methods in Applied Sciences
%K distance information ir measure retrieval similarity
%N 4
%P 300--307
%T Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions
%U http://www.gly.fsu.edu/~parker/geostats/Cha.pdf
%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.