gbc: Gbc function is a graph based clustering method. A function...

In Kahi-Na/Algorithme-GBC: GBC the Package of the Graph Based Clustering Method

Description

Gbc function is a graph based clustering method. A function to detect the appropriate number of clusters , and returns the appropriate clustering.

Usage

gbc(x)

Arguments

x

Any given dataset, any (.txt, .csv,..ect.), such that the separator between its columns and lines should be a blank space " ", and the number of its observations (lines) and the number of its features should be a moderate number (not too large), and the type of its elements (attributes) should be of numerical type (continous or multivalued values) for calculating the distances. and the observations with missing values should be removed from the dataset (and note that you can use the Milligan Cooper method to standardize the dataset's values).

Value

This algorithm detects the appropriate number of clusters k, so the appropriate clustering.

Kahi-Na/Algorithme-GBC documentation built on May 4, 2019, 3:11 a.m.