public void processAlgorithm() {
List<List<Double>> testData = data.getTestData();
int testNum = data.getTestNum();
long begin = System.currentTimeMillis();
for (int i = 0; i < testNum; i++) {
List<Double> test = testData.get(i);
result[i][0] = Arith.convertsToInt(test.get(0));
result[i][1] = Math.round(Float.parseFloat((knn(data.getTrainData(), test, 3))));
if (result[i][0] != result[i][1]) {
ma.setWrong(ma.getWrong() + 1);
}
}
long end = System.currentTimeMillis();
ma.setTime(begin, end);
ma.setAccuracyRate(ma.getWrong(), testNum);
ma.setErrorRate(ma.getWrong(), testNum);
}
public KNN(Data data) {
this.data = data;
result = new int[data.getTestNum()][2];
data.minMaxDataFormat(data.getTrainData());
data.minMaxDataFormat(data.getTestData());
}
/** 设置优先级队列的比较函数，距离越大，优先级越高 */
public KNN() {
data = new Data();
result = new int[data.getTestNum()][2];
data.minMaxDataFormat(data.getTrainData());
data.minMaxDataFormat(data.getTestData());
}