@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
}