Table of Contents

Unsupervised Classification

Description

Unsupervised classification by kmeans, Clustering for Large Applications (CLARA) and Random Forest

Inputs

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

Outputs

Name Type Description
Output kmeans string Output raster filename of k-means classification
Output Clara string Output raster filename of clara classification
Output Random Forest string Output filename raster of Random Forest classification

Group

BioDinamica

Internal Name

BioDinamica