WhichCell

A one-row matrix, the new sample to be input.

A logical scalar, if TRUE, the model is in parametric version, otherwise, a non-parametric one.

param

A matrix, stores all the parameters over the continuous domain.

smart

A numeric vector, specifies the value of all global variables, if param = T, then const = c(N,n,d,rh,r,K,alpha); if param=FALSE, then const = c(N,n,d,rh,r,K,sigma_sqare).

const


returns the index of the cell to which the new sample belongs


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.

WhichCell: WhichCell

Description

Usage

Arguments

Value