LibOPF (version 2.5.0)

opf_knn_train: Executes the training phase of the OPF classifier with knn adjacency

Description

Executes the training phase of the OPF classifier with knn adjacency

Usage

opf_knn_train(trainFile, evaluatFile, kmax, precomputedDistance = NA)

Arguments

trainFile

The training object produced by the opf_split (subGraph object)

evaluatFile

The evaluation object produced by the opf_split (subGraph object)

kmax

The kmax (maximum degree for the knn graph)

precomputedDistance

The precomputed distance matrix produced by the opf_distance (leave it in blank if you are not using this resource)

Value

Returns a list which contains the classifier object and the classification list object (i.e., clusters' id)

Details

Returns a list which contains the classifier object and the classification list object

Examples

# NOT RUN {
dat <- opf_read_subGraph(system.file("extdata/boat.dat",package = "LibOPF"))
X <- opf_split(dat,0.3,0.2,0.5,0)
T <- X$training
T2 <- X$testing
E <- X$evaluating
Y <- opf_knn_train(T,E,100)
class <- opf_knn_classify(T2, Y$classifier)
acc <- opf_accuracy(T2, class)

# }