public String getInformation() {
String str =
this.algname
+ "->所用时间:"
+ Utils.doubleFormat("0.0000", this.m_useTime)
+ "s 约简个数："
+ this.m_numRed
+ "\n"
+ this.m_process;
str += "最终约简:" + Arrays.toString(this.m_selectAtt);
System.out.println(str);
return str;
}
public boolean[] getReduceAtt() {
int U = this.m_data.numInstances();
int N = this.m_data.numAttributes();
boolean[] newB = new boolean[N];
boolean[] B = new boolean[N];
boolean[] A = Utils.Instances2FullBoolean(this.m_data);
boolean[] D = Utils.Instances2DecBoolean(this.m_data);
int[] cfbf_index = new int[N - 1]; // 不包括决策属性
double[] cfbf_value = new double[N - 1];
long time_start = Utils.getCurrenttime();
// 离散化
if (this.m_isMDL) {
weka.filters.supervised.attribute.Discretize sd =
new weka.filters.supervised.attribute.Discretize();
try {
sd.setInputFormat(this.m_data);
this.m_data = Filter.useFilter(this.m_data, sd);
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
} else {
weka.filters.unsupervised.attribute.Discretize unsd =
new weka.filters.unsupervised.attribute.Discretize();
unsd.setBins(this.m_bin);
// unsd.setUseEqualFrequency(true); // If set to true, equal-frequency binning will be used
// instead of equal-width binning.
try {
unsd.setInputFormat(this.m_data);
this.m_data = Filter.useFilter(this.m_data, unsd);
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
for (int k = 0; k < N - 1; ++k) {
B[k] = true;
cfbf_value[k] = this.getMeausureValue(D, B);
cfbf_index[k] = k;
B[k] = false;
}
if (this.m_lambda == -1) {
int log = (int) (N / Utils.log2(N));
this.m_lambda = cfbf_value[log];
}
// 排序
double temp;
int tempindex;
for (int i = 0; i < N - 1; ++i) {
/* 冒泡法排序 */
for (int j = 0; j < N - i - 2; ++j) {
if (cfbf_value[j] < cfbf_value[j + 1]) {
// 交换cfbf_value
temp = cfbf_value[j];
cfbf_value[j] = cfbf_value[j + 1];
cfbf_value[j + 1] = temp;
// 交换cfbf_index
tempindex = cfbf_index[j];
cfbf_index[j] = cfbf_index[j + 1];
cfbf_index[j + 1] = tempindex;
}
}
}
// System.out.println(Arrays.toString(cfbf_value));
newB[cfbf_index[0]] = true;
int cnt = 1;
while (cnt != (N - 1) && cfbf_value[cnt] >= this.m_lambda) {
boolean[] X = new boolean[N];
X[cfbf_index[cnt]] = true; // newone
boolean isRud = false;
for (int i = 0; i < cnt; ++i) {
if (newB[cfbf_index[i]]) {
boolean[] Y = new boolean[N];
Y[cfbf_index[i]] = true; // oldone
// if(this.getMeausureValue(X, Y)>=this.m_lambda*cfbf_value[cnt]){//不相关
if (this.getMeausureValue(X, Y) >= cfbf_value[cnt]) { // 不相关
isRud = true;
break;
}
}
}
if (!isRud) {
newB[cfbf_index[cnt]] = true;
// System.out.println(Arrays.toString(Utils.boolean2select(newB))+"->"+cfbf_index[cnt]+":"+cfbf_value[cnt]);
}
cnt++;
}
this.m_useTime = (Utils.getCurrenttime() - time_start) / (double) 1000;
this.m_numRed = Utils.booleanSelectedNum(newB);
// System.out.println(this.algname+"Success!");
return newB;
}