attribute.cs

It s the Naive Bayes algorithm with import function dat-files, realized by the tools of Visual Stu

using System;
using System.Collections;
using System.Text;


namespace NaiveBayes
{
    class Attribute : SampleAttribute
    {
        public Attribute(ArrayList values, double step)
            :
            base(values)
        {
            initializeDigitizedValues(step);
            initializeDigitizedTypes();
        }

        public void initializeDigitizedValues(double step)
        {
            try
            {
                ArrayList digitValues = new ArrayList();
                double maxValue = 0;
                double minValue = 1000;
                foreach (string value in this.values)
                {
                    digitValues.Add(getDouble(value));

                    if (getDouble(value) > maxValue)
                        maxValue = getDouble(value);
                    if (getDouble(value) < minValue)
                        minValue = getDouble(value);

                }
                ArrayList normalizedValues = new ArrayList();

                //minimax normalization 
                foreach (double value in digitValues)
                    normalizedValues.Add((value - minValue) / (maxValue - minValue));

                //discretizing values
                this.digitizedValues = normalizedValues.Clone() as ArrayList;
                double tt = 1 / step;
                for (int j = 0; j < 1 / step; j++)
                {
                    for (int i = 0; i < normalizedValues.Count; i++)
                    //foreach (double value in normalizedValues)
                    {
                        double t1 = Convert.ToDouble(normalizedValues[i]);
                        double t2 = (j + 1) * step;
                        if (Convert.ToDouble(normalizedValues[i]) <= (j + 1) * step)
                        {
                            normalizedValues[i] = maxValue;
                            this.digitizedValues[i] = j;

                        }
                    }
                }
            }

            catch (Exception e)
            {
                Console.WriteLine("{0} Exception caught.", e);
                this.type = Type.char_;
                initializeDigitizedValues();
            }
        }

        private void initializeDigitizedValues()
        {
            this.digitizedValues = this.values.Clone() as ArrayList;
            for (int j = 0; j < this.values.Count; j++)
            {
                for (int i = 0; i < this.valueTypes.Count; i++)
                {
                    if (this.values[j].Equals(this.valueTypes[i]))
                        this.digitizedValues[j] = i;
                }
            }
        }

        public void initializeDigitizedTypes()
        {
            foreach (int value in this.digitizedValues)
            {
                if (!this.digitizedTypes.Contains(value))
                    this.digitizedTypes.Add(value);
            }
        }
        public double getDouble(string str)
        {
            double res = 0;
            string[] temp = new string[2];
            temp = str.Split('.');
            res += (Convert.ToDouble(temp[0]) + 0.1 * Convert.ToDouble(temp[1]));
            return res;
        }

       

    }
 }