iris.fbc

数据挖掘中的bayes算法,很好的代码

/*----------------------------------------------------------------------
  domains
----------------------------------------------------------------------*/
dom(sepal_length) = IR;
dom(sepal_width) = IR;
dom(petal_length) = IR;
dom(petal_width) = IR;
dom(iris_type) = { Iris-setosa, Iris-versicolor, Iris-virginica };

/*----------------------------------------------------------------------
  full Bayes classifier
----------------------------------------------------------------------*/
fbc(iris_type) = {
  prob(iris_type) = {
    Iris-setosa    : 50,
    Iris-versicolor: 50,
    Iris-virginica : 50 };
  prob(sepal_length,sepal_width,petal_length,petal_width|iris_type) = {
    Iris-setosa    : N([5.006, 3.428, 1.462, 0.246],
                       [0.124249],
                       [0.0992163, 0.14369],
                       [0.0163551, 0.011698, 0.0301592],
                       [0.0103306, 0.00929796, 0.00606939, 0.0111061]),
    Iris-versicolor: N([5.936, 2.77, 4.26, 1.326],
                       [0.266433],
                       [0.0851837, 0.0984694],
                       [0.182898, 0.0826531, 0.220816],
                       [0.0557796, 0.0412041, 0.073102, 0.0391061]),
    Iris-virginica : N([6.588, 2.974, 5.552, 2.026],
                       [0.404343],
                       [0.0937633, 0.104004],
                       [0.30329, 0.0713796, 0.304588],
                       [0.0490939, 0.0476286, 0.0488245, 0.0754327]) };
};

/*----------------------------------------------------------------------
  number of attributes: 5
  number of tuples    : 150
----------------------------------------------------------------------*/