TY  - JOUR
ID  - epos1372
UR  - https://episodesplatform.eu/eprints/1372/
IS  - 4
A1  - Cha, Sung-Hyuk
N2  - 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.
VL  - 1
TI  - Comprehensive Survey on Distance/Similarity 
Measures between Probability Density Functions
AV  - none
EP  - 307
Y1  - 2007///
PB  - World Scientific Publishing
JF  - International Journal of Mathematical models and Methods in Applied Sciences
KW  - Distance
KW  -   Histogram
KW  -   Probability  Density  Function
KW  -  
Similarity
SN  - 1793-6314
SP  - 300
ER  -