spatdt: Spatial Data Handling

In FLR: Fuzzy Logic Rule Classifier

Description

Creates a linear connection between spatial data in order to be used for classification.

Usage

  spatdt(data,idx,mat,pre_order=0,snd=0)
  get.cost(zzz,mat)
  get.cost2(pre_order,mat)
  get.pos(instz)
  winner.route(cost)

Arguments

data	an input data.frame
idx	indicates the position of the spatial data attribute.
mat	a matrix indicating distances
pre_order	predefined order
snd	indicates which node will be used as the starting one. The default value 0 means that the best route will be chosen, without taking into consideration which the starting node will be.
zzz	a route
instz	instance
cost	cost of routes

Value

return a list of 3 objects: a) The modified dataset, b) winner route, c) the total distance of the route.

Examples

#Import data
data(dataset001)
data<-dataset001
data(mat)

idx<-1
rhoa<-0.6
param<-"sigmoid"
pre_order<-c(1,2,3,4,5,6,7,8,9)

#Data preprocess
data<-spatdt(data,idx,mat,pre_order)

FLR documentation built on May 2, 2019, 3:43 p.m.