@article{epos1372,
          volume = {1},
          number = {4},
          author = {Sung-Hyuk Cha},
           title = {Comprehensive Survey on Distance/Similarity 
Measures between Probability Density Functions},
       publisher = {World Scientific Publishing},
         journal = {International Journal of Mathematical models and Methods in Applied Sciences},
           pages = {300--307},
            year = {2007},
        keywords = {Distance,  Histogram,  Probability  Density  Function, 
Similarity},
             url = {https://episodesplatform.eu/eprints/1372/},
        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.}
}