r-spatimeclus
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.
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.
| Name | Type | Version | Platform | Labels | Updated | Size | Downloads | Actions |
|---|
win-64/r-spatimeclus-1.0-r36h796a38f_0.tar.bz2 | conda | 1.0 | win-64 | main | Dec 4, 2019, 03:55 PM | 230.42 KB | 1 | |
osx-64/r-spatimeclus-1.0-r36h466af19_0.tar.bz2 | conda | 1.0 | osx-64 | main | Dec 4, 2019, 03:51 PM | 233.44 KB | 0 | |
linux-64/r-spatimeclus-1.0-r36h29659fb_0.tar.bz2 | conda | 1.0 | linux-64 | main | Dec 4, 2019, 03:46 PM | 229.39 KB | 1 |