NAME
i.pr.statistics - Module to calculate feature statistics. i.pr: Pattern Recognition environment for image processing. Includes kNN, Decision Tree and SVM classification techniques. Also includes cross-validation and bagging methods for model validation.
KEYWORDS
imagery, image processing, pattern recognition
SYNOPSIS
i.pr.statistics
i.pr.statistics help
i.pr.statistics features=string [layer=integer] [npc=integer] [corr=integer[,integer,...]] [--verbose] [--quiet]
Parameters:
- features=string
- Input file containing the features (output of i.pr_features).
- layer=integer
- Number of the layer to be analized (concerning with the principal components).
Ignored if features does not contain principal components model.
- Default: 1
- npc=integer
- Number of principal components to be analized.
If this number is greater then the dimension of the data,
all the principal components will be considered.
Ignored if features does not contain principal components model.
- corr=integer[,integer,...]
- Index of columns to compute correlation.
Main index - imagery index - Full index
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