LDA
Overview
This package implements Linear Discriminant Analysis with Fisher's dicriminant and Kernel Linear Discriminant Analysis with the following kernels:
- Linear
- Polynomial
- Laplacian RBF
- RBF
Installation
Pkg.clone("https://github.com/remusao/LDA.jl.git")
Pkg.update()Usage
using Vega
using LDA
using RDatasets
# Try with Iris
iris = data("datasets", "iris")
# Create data matrix
data = matrix(iris[:, 2:5])'
# Create labels vector
labels = Array(Int, size(data, 2))
for i = 1:size(data, 2)
x = iris[:, 6][i]
if x == "setosa"
labels[i] = 1
elseif x == "virginica"
labels[i] = 2
else
labels[i] = 3
end
end
# lineaire
rbf_res = lda(data, labels, 3, linear)
println("Printing results")
print_2Ddecision(rbf_res, data, labels)
# RBF 0.4
rbf_res = lda(data, labels, 3, rbf, 0.4)
println("Printing results")
print_2Ddecision(rbf_res, data, labels)
