Is it possible to weight the significance given to a raster during K-means or equivalent classification of raster imagery?

01 January 2019 1 8K Report

We are using multiple raster layers to produce a predictive classification of the landscape. Statistical modelling indicates that some of the layers we are using for the classification are more sensitive predictors than others for the environmental variables we are hoping to predict.

Does anyone know of an option, plugin, method, that enables the used to weight the significance given to a raster during K-means or equivalent classification?

Sofien Tiba

Dear Sir, in order to determine the weight of significance, I think you should make the PCA analysis to determine the ponderation weight of significance which allow you to determine an index and you can run your predictions.

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