discretizeQuant

A data frame which includes quantitative variables in columns.

myDataQuant

Noice indicator. If noice = TRUE data standerdization is done by
deviding the difference between data point and median of the variable by the range of the variable.
If noice = FALSE data standerdization is done by deviding the difference between data point and
mean of the variable by the standard deviation of the variable.

noice


Takes in a data frame which contains only Quantitative varables in columns. Standadize the variables.
Discretize quantitative variables and returns discretized quantitative variables. Discretization was performed by
equal width bining algorithm.


Implement the methods proposed by Ahmad & Dey (2007) <doi:10.1016/j.datak.2007.03.016> in calculating the dissimilarity matrix at the presence of mixed attributes. This Package includes functions to discretize quantitative variables, calculate conditional probability for each pair of attribute values, distance between every pair of attribute values, significance of attributes, calculate dissimilarity between each pair of objects.

discretizeQuant: Descretize Quantitative Variables.

Description

Usage

Arguments

Value

Examples