k-Nearest Neighbours in Dinfio - Muhammad Faruq Nuruddinsyah
k-Nearest Neighbours in Dinfio

This is the implementation of simple k-Nearest Neighbours (kNN) classifier in Dinfio Language with Euclidean distance as the distance metric.

Screenshot:


Source Code:
' ------------------------------------
'  Machine Learning Example in Dinfio
' ------------------------------------
'  k-Nearest Neighbours classifier
'  By: Faruq
' ------------------------------------

import math
 
start
    var KNN: knn = KNN(3)
 
    training_features = [[140, 1], [130, 1], [150, 0], [170, 0]]
    training_labels = ["orange", "orange", "apple", "apple"]
    testing = [160, 1]
 
    knn.train(training_features, training_labels)
    prediction = knn.predict(testing)
 
    writeln("Input: [" & testing[0] & ", " & testing[1] & "]")
    writeln("Prediction result: " & prediction.label)
    writeln("Distance: " & prediction.distance)
stop
 
class KNN
    field x_train, y_train
    field k
 
    function construct(k)
        this.k = k
    stop
 
    function train(features, labels)
        this.x_train = features
        this.y_train = labels
    stop
 
    function predict(test)
        best_distance = this.distance(this.x_train[0], test)
        prediction = this.y_train[0]
        result = object()
 
        for i, 1, size(this.x_train) - 1
            dist = this.distance(this.x_train[i], test)
 
            if dist < best_distance
                best_distance = dist
                prediction = this.y_train[i]
            endif
        endfor
 
        result.label = prediction
        result.distance = best_distance
 
        return result
    stop
 
    function distance(point_1, point_2)
        sum = 0
 
        for i, 0, size(point_1) - 1
            sum += (point_1[i] - point_2[i]) ^ 2
        endfor
 
        return sqrt(sum)
    stop
endclass

Lihat semua daftar ACS - Download: knn.fio - Tanggal: 10 Agustus 2020 - Kategori: Dinfio