Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions
S. Cha. International Journal of Mathematical Models and Methods in Applied Sciences, 1 (4):
300--307(2007)
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.
%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.
@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 = {2012-06-07T16:45:15.000+0200},
author = {Cha, Sung-Hyuk},
biburl = {https://www.bibsonomy.org/bibtex/269e7c9ba92a049efa4c70f8f0bfdb4ea/jaeschke},
interhash = {dfaf5e38d33eaab89f3643b242910c81},
intrahash = {69e7c9ba92a049efa4c70f8f0bfdb4ea},
journal = {International Journal of Mathematical Models and Methods in Applied Sciences},
keywords = {distance information ir measure retrieval similarity},
number = 4,
pages = {300--307},
timestamp = {2014-07-28T15:57:31.000+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
}