Unsupervised classification by kmeans, Clustering for Large Applications (CLARA) and Random Forest
| Name | Type | Description |
|---|---|---|
| Input Folder | Folder | Folder with predictors raster files (variables) in geoTif format |
| Number Of Classes | Real Value Type | Number of classes in classification |
| kmeans | Boolean | Project PLSR in another scenario (future or past) |
| Clara | Boolean | Project PLSR in another scenario (future or past) |
| Random Forest | Boolean | Project PLSR in another scenario (future or past) |
| Output kmeans | Boolean | Output raster of k-means classification |
| Output Clara | Boolean | Output raster of clara classification |
| Output Random Forest | Boolean | Output raster of Random Forest classification |
| Number Of Interactions | Real Value Type | Maximum number of interactions in k-means classification |
| Start Random Sets | Real Value Type | Number of start random sets |
| Sample Size In Clara | Real Value Type | Sample Size In Clara classification |
| Distance Metric In Clara | Real Value Type | 1 - euclidean; 2 - manhattan; |
| Sample Size In Random Forest | Real Value Type | Sample Size In Random Forest classification |
| Number Of Trees | Real Value Type | Number of trees in Random Forest |
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