SpaTimeClus: Model-Based Clustering of Spatio-Temporal Data
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.
Version: |
1.0.1 |
Depends: |
R (≥ 3.0.2) |
Imports: |
methods, Rcpp (≥ 0.11.1), parallel |
LinkingTo: |
Rcpp, RcppArmadillo |
Published: |
2020-10-14 |
Author: |
Cheam A., Marbac M., and McNicholas P. |
Maintainer: |
Matthieu Marbac <matthieu.marbac at gmail.com> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
yes |
In views: |
SpatioTemporal |
CRAN checks: |
SpaTimeClus results |
Documentation:
Downloads:
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