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 on-line 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.
|Author||Lizhen Nie <[email protected]>|
|Maintainer||Lizhen Nie <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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