/// <summary>
/// 计算关键属性的依赖度
/// </summary>
/// <returns>依赖度集合1-13存储在0-12</returns>
public List <double> calDependance()
{
List <double> keyDependance = new List <double>(); //关键属性的依赖度
int sampleNum = trainCollection.Count; //相似样本个数
//计算决策属性的划分
Depend dec = new Depend(true);
for (int j = 0; j < sampleNum; j++)//遍历相似样本，进行属性划分
{
dec.addRecord(trainCollection[j][0].ToString(), j);
}
int keyNum = keyCollection.Count;
for (int i = 1; i < keyNum; i++)//遍历属性求出相应的依赖度
{
//计算关键属性的划分
Depend depend = new Depend(true); //不考虑属性类型，一律按照文本处理
for (int j = 0; j < sampleNum; j++) //遍历样本，进行属性划分
{
depend.addRecord(trainCollection[j][i].ToString(), j);
}
//求出依赖度
keyDependance.Add(depend.getDependance(dec, sampleNum));
}
//for (int i = 0; i < keyDependance.Count; i++)
//{
// Console.Write(keyDependance[i].ToString() + " ");
//}
return(keyDependance);
}
