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IDmining (version 1.0.7)

Intrinsic Dimension for Data Mining

Description

Contains techniques for mining large and high-dimensional data sets by using the concept of Intrinsic Dimension (ID). Here the ID is not necessarily an 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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Version

Install

install.packages('IDmining')

Monthly Downloads

286

Version

1.0.7

License

CC BY-NC-SA 4.0

Maintainer

Last Published

May 3rd, 2021

Functions in IDmining (1.0.7)

Butterfly

Butterfly Data Set Generator
MINDID_FMC

Functional Measure of Clustering Using the Morisita Estimator of ID
MBRM

Morisita-Based Filter for Redundancy Minimization
MBFR

Morisita-Based Filter for Regression Problems
RenDim

Renyi's Generalized Dimensions
MINDEX_SP

The Multipoint Morisita Index for Spatial Patterns
MBFR_parallel

Morisita-Based Filter for Regression Problems (Parallel)
MBRM_parallel

Morisita-Based Filter for Redundancy Minimization (Parallel)
IDmining-package

IDmining: Intrinsic Dimension for Data Mining
MINDID

The (Multipoint) Morisita Index for Intrinsic Dimension Estimation
SwissRoll

Swiss Roll Data Set Generator
logMINDEX

The Multipoint Morisita Index in 1, 2 or Higher Dimensions