Tool Name	K-Nearest Neighbours Classification
Tool ID	6
Library ID	imagery_opencv
Version	1.0
Author(s)	O.Conrad (c) 2016

Integration of the OpenCV Machine Learning library for K-Nearest Neighbours classification of gridded features.

Name	Type	Identifier	Description	Constraints
Input
Features	grid list, input	FEATURES
Training Samples	table, input	TRAIN_SAMPLES	Provide a class identifier in the first field followed by sample data corresponding to the input feature grids.
Training Areas	shapes, input	TRAIN_AREAS
Output
Classification	grid, output	CLASSES
Look-up Table	table, output, optional	CLASSES_LUT	A reference list of the grid values that have been assigned to the training classes.
Options
Normalize	boolean	NORMALIZE		Default: 0
Training	choice	MODEL_TRAIN		Available Choices: [0] training areas [1] training samples [2] load from file Default: 0
Class Identifier	table field	TRAIN_CLASS
Buffer Size	floating point number	TRAIN_BUFFER	For non-polygon type training areas, creates a buffer with a diameter of specified size.	Minimum: 0.000000 Default: 1.000000
Load Model	file path	MODEL_LOAD	Use a model previously stored to file.
Save Model	file path	MODEL_SAVE	Stores model to file to be used for subsequent classifications instead of training areas.
Default Number of Neighbours	integer number	NEIGHBOURS		Minimum: 1 Default: 3
Training Method	choice	TRAINING		Available Choices: [0] classification [1] regression model Default: 0
Algorithm Type	choice	ALGORITHM		Available Choices: [0] brute force [1] KD Tree Default: 0
Parameter for KD Tree implementation	integer number	EMAX		Minimum: 1 Default: 1000