%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 measures 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.

@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.}, added-at = {2016-07-20T14:11:38.000+0200}, author = {Cha, Sung-Hyuk}, biburl = {https://www.bibsonomy.org/bibtex/269e7c9ba92a049efa4c70f8f0bfdb4ea/ans}, interhash = {dfaf5e38d33eaab89f3643b242910c81}, intrahash = {69e7c9ba92a049efa4c70f8f0bfdb4ea}, journal = {International Journal of Mathematical Models and Methods in Applied Sciences}, keywords = {distance information measures similarity}, number = 4, pages = {300--307}, timestamp = {2016-07-20T14:11:38.000+0200}, 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 }