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Addressing the problem of outlier detection from the viewpoint of statistical learning theory. This method is proposed by Yamanishi, K., Takeuchi, J., Williams, G. et al. (2004) <DOI:10.1023/B:DAMI.0000023676.72185.7c>. It learns the probabilistic model (using a finite mixture model) through an online unsupervised process. After each datum is input, a score will be given with a high one indicating a high possibility of being a statistical outlier.
Package details 


Author  Lizhen Nie <[email protected]> 
Maintainer  Lizhen Nie <[email protected]> 
License  GPL (>= 2) 
Version  0.1.0 
Package repository  View on CRAN 
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