Cha, Sung-Hyuk (2007) Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions. International Journal of Mathematical models and Methods in Applied Sciences, 1 (4). pp. 300-307.
Full text not available from this repository.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.
[error in script]| Item Type: | Article |
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| Uncontrolled Keywords: | Distance, Histogram, Probability Density Function, Similarity |
| Subjects: | Methodology > Method and procesing |
| Project: | IS-EPOS project |
