clustering: Clustering

In mbeccuti/Prova:

Description

The function clustering() fits and clusterize the data stored in databaseTr with a model among the Malthus, Gompertz and Logistic ones.

Usage

clustering(databaseTr, k, model)

Arguments

databaseTr	List containing the number of observations per each curve (called LenCurv), and a data frame constituted from the curves' ID, observed values and the respective times, that might be truncated at a specific time or not. It is generated automatically from the function DataImport() or DataTruncation() if we want consider a truncation time.
k	Number of clusters, it could be a vector.
model	String model name, it is possible to choose one among Malthus, Gompertz and Logistic models.

Value

List containing, for each curve, the parameters of the fitting with respect of the model choosen, the center and the cluster of affinity.

mbeccuti/Prova documentation built on May 20, 2019, 5:26 p.m.