DBSMOTE: Density-based SMOTE

In smotefamily: A Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE

Density-based SMOTE

Description

Generate a oversampling dataset from imbalance dataset using Density-based SMOTE. Using density reachability concept to cluster minority instances and generate synthetic instances.

Usage

DBSMOTE(X, target, dupSize = 0, MinPts = NULL, eps = NULL)

Arguments

X	A data frame or matrix of numeric-attributed dataset
target	A vector of a target class attribute
dupSize	A number of vector representing the desired times of synthetic minority instances over the original number of majority instances
MinPts	The minimum instance parameter to decide whether each instance inside eps is reachable, the automatic algorithm is used to find the value instead if there is no positive integer value given for it.
eps	The radius to consider neighbor.

Value

data	A resulting dataset consists of original minority instances, synthetic minority instances and original majority instances with a vector of their respective target class appended at the last column
syn_data	A set of synthetic minority instances with a vector of minority target class appended at the last column
orig_N	A set of original instances whose class is not oversampled with a vector of their target class appended at the last column
orig_P	A set of original instances whose class is oversampled with a vector of their target class appended at the last column
K	Unavailable for this method
K_all	Unavailable for this method
dup_size	The maximum times of synthetic minority instances over original majority instances in the oversampling
outcast	A set of original minority instances which is defined as NOISE/minority outcast
eps	The value of parameter eps
method	The name of oversampling method used for this generated dataset

Author(s)

Wacharasak Siriseriwan <[e-mail]>

References

Bunkhumpornpat, C., Sinapiromsaran, K. and Lursinsap, C. 2012. DBSMOTE: Density-based synthetic minority oversampling technique. Applied Intelligence. 36, 664-684.

Examples

data_example = sample_generator(5000,ratio = 0.90)
genData = DBSMOTE(data_example[,-3],data_example[,3])

smotefamily documentation built on May 29, 2024, 7:54 a.m.