SmartSifter: Online Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms
Version 0.1.0

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) . 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.

AuthorLizhen Nie <nie_lizhen@yahoo.com>
Date of publication2016-09-14 18:50:50
MaintainerLizhen Nie <nie_lizhen@yahoo.com>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("SmartSifter")

Popular man pages

delta: delta
HellingerScoreOne: HellingerScoreOne
InputOneSample: InputOneSample
LogLoss: LogLoss
LogLossOne: LogLossOne
UpdateConst: UpdateConst
WhichCell: WhichCell
See all...

All man pages Function index File listing

Man pages

delta: delta
HellingerScore: HellingerScore
HellingerScoreOne: HellingerScoreOne
InitializeCell: InitializeCell
InputOneSample: InputOneSample
InputSample: InputSample
LogLoss: LogLoss
LogLossOne: LogLossOne
Test: Test
Train: Train
UpdateConst: UpdateConst
WhichCell: WhichCell

Functions

HellingerScore Man page Source code
HellingerScoreOne Man page Source code
InitializeCell Man page Source code
InputOneSample Man page Source code
InputSample Man page Source code
LogLoss Man page Source code
LogLossOne Man page Source code
Test Man page Source code
Train Man page Source code
UpdateConst Man page Source code
WhichCell Man page Source code
delta Man page Source code

Files

inst
inst/CITATION
tests
tests/testthat.R
tests/testthat
tests/testthat/test-Train.R
tests/testthat/test-Test.R
NAMESPACE
R
R/LogLoss.R
R/delta.R
R/Train.R
R/Test.R
R/InitializeCell.R
R/InputSample.R
R/LogLossOne.R
R/UpdateConst.R
R/HellingerScore.R
R/HellingerScoreOne.R
R/InputOneSample.R
R/WhichCell.R
MD5
DESCRIPTION
man
man/InputSample.Rd
man/InputOneSample.Rd
man/HellingerScoreOne.Rd
man/UpdateConst.Rd
man/LogLossOne.Rd
man/Test.Rd
man/LogLoss.Rd
man/InitializeCell.Rd
man/WhichCell.Rd
man/Train.Rd
man/HellingerScore.Rd
man/delta.Rd
SmartSifter documentation built on May 19, 2017, 7:47 p.m.

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