RWBP: Detects spatial outliers using a Random Walk on Bipartite Graph

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a Bipartite graph and is constructed based on the spatial and/or non-spatial attributes of the spatial objects in the dataset. Secondly, RW techniques are utilized on the graphs to compute the outlierness for each point (the differences between spatial objects and their spatial neighbours). The top k objects with higher outlierness are recognized as outliers.

Author
Sigal Shaked & Ben Nasi
Date of publication
2014-06-24 23:30:50
Maintainer
Sigal Shaked <shaksi@post.bgu.ac.il>
License
GPL (>= 2)
Version
1.0

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Man pages

predict.RWBP
predict.RWBP
RWBP
Random Walk on Bipartite Graph
RWBP-package
Random Walk on Bipartite Graph

Files in this package

RWBP
RWBP/NAMESPACE
RWBP/R
RWBP/R/RW-BP-internal.R
RWBP/R/RWBP.R
RWBP/R/plot.RWBP.R
RWBP/R/RWBP.default.R
RWBP/R/RWBP.formula.R
RWBP/R/predict.RWBP.R
RWBP/R/print.RWBP.R
RWBP/MD5
RWBP/DESCRIPTION
RWBP/man
RWBP/man/RWBP-package.Rd
RWBP/man/predict.RWBP.Rd
RWBP/man/RWBP.Rd