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RWBP (version 1.0)

Detects spatial outliers using a Random Walk on Bipartite Graph

Description

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.

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Version

Install

install.packages('RWBP')

Monthly Downloads

6

Version

1.0

License

GPL (>= 2)

Maintainer

Sigal Shaked

Last Published

June 24th, 2014

Functions in RWBP (1.0)

RWBP

Random Walk on Bipartite Graph
RWBP-package

Random Walk on Bipartite Graph
predict.RWBP

predict.RWBP