SpaTimeClus (version 1.0.1)

Model-Based Clustering of Spatio-Temporal Data

Description

Mixture model is used to achieve the clustering goal. Each component is itself a mixture model of polynomial autoregressive regressions whose the logistic weights consider the spatial and temporal information.

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Version

Install

install.packages('SpaTimeClus')

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Version

1.0.1

License

GPL (>= 2)

Maintainer

Matthieu Marbac

Last Published

October 14th, 2020

Functions in SpaTimeClus (1.0.1)

STCresults-class

Constructor of ['>STCresults] class

STCmodel

This function builts an instance of '>STCmodel.

STCparam-class

Constructor of ['>STCparam] class

SpaTimeClus-package

SpaTimeClus a package for clustering spatio-temporal data

STCtune-class

Constructor of ['>STCtune] class

BuildSTCdata

Constructors of the class '>STCdata

STCcriteria-class

Constructor of ['>STCcriteria] class

Summary function.

airparif

Real spatio-temporal data: airparif

STCmodel-class

Constructor of ['>STCmodel] class

STCdata-class

Constructor of ['>STCdata] class

spatimeclus

This function performs the maximum likelihood estimation for a known model in clustering

summary

Summary function.

STCpartitions-class

Constructor of ['>STCpartitions] class