IDmining

Intrinsic Dimension for Data Mining

Contains techniques for mining large high-dimensional data sets by using the concept of Intrinsic Dimension (ID). Here the ID is not necessarily integer. It is extended to fractal dimensions. And the Morisita estimator is used for the ID estimation, but other tools are included as well.

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Description file content

Package
IDmining
Type
Package
Title
Intrinsic Dimension for Data Mining
Version
1.0.2
Author
Jean Golay and Mohamed Laib
Maintainer
Jean Golay
Description
Contains techniques for mining large high-dimensional data sets by using the concept of Intrinsic Dimension (ID). Here the ID is not necessarily integer. It is extended to fractal dimensions. And the Morisita estimator is used for the ID estimation, but other tools are included as well.
Imports
data.table, doParallel, parallel, foreach, stats, utils
License
CC BY-NC-SA 4.0
URL
Encoding
UTF-8
LazyData
true
RoxygenNote
6.0.1
Note
The authors are grateful to Mikhail Kanevski, Michael Leuenberger and Carmen D. Vega Orozco for many fruitful discussions about the use of intrinsic dimension in data mining.
NeedsCompilation
no
Packaged
2017-07-06 09:51:48 UTC; jgolay4
Repository
CRAN
Date/Publication
2017-07-06 23:48:35 UTC

install.packages('IDmining')

1.0.2

3 months ago

https://www.sites.google.com/site/jeangolayresearch/

Jean Golay

CC BY-NC-SA 4.0

Imports

data.table, doParallel, parallel, foreach, stats, utils

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