@article{cha2007comprehensive, abstract = {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.}, author = {Cha, Sung-Hyuk}, interhash = {dfaf5e38d33eaab89f3643b242910c81}, intrahash = {69e7c9ba92a049efa4c70f8f0bfdb4ea}, journal = {International Journal of Mathematical Models and Methods in Applied Sciences}, number = 4, pages = {300--307}, title = {Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions}, url = {http://www.gly.fsu.edu/~parker/geostats/Cha.pdf}, volume = 1, year = 2007 } @article{lin91divergence, author = {Lin, J.}, interhash = {3a63843545ff9a49bf2864635588b55a}, intrahash = {4dfe0438fd821ab689101fd05686b18e}, journal = {IEEE Transactions on Information Theory}, number = 1, pages = {145 -- 151}, title = {Divergence measures based on the Shannon entropy}, volume = 37, year = 1991 }