azalea/fixminer_source
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Output the sizes of common clusters.

Browse Source
This commit is contained in:
Kui LIU
2017-08-04 13:36:54 +02:00
parent f23b7fb859
commit 5b7cd51e4d
1 changed files with 16 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
src/main/java/edu/lu/uni/serval/FixPatternMining/CommonPatterns.java
+16 -2
View File
@@ -6,6 +6,8 @@ import java.util.List;
import java.util.Map;
import edu.lu.uni.serval.FixPatternMining.DataPrepare.DataPreparation;
import edu.lu.uni.serval.config.Configuration;
import edu.lu.uni.serval.utils.FileHelper;
import edu.lu.uni.serval.utils.MapSorter;
public class CommonPatterns {
@@ -28,16 +30,21 @@ public class CommonPatterns {
private List<Integer> getCommonClustersByNumber(Map<Integer, List<Integer>> clusterMap) {
List<Integer> commonClusterNum = new ArrayList<>();
String numbersMapStr = "";// numbers of instances in each common cluster.
for (Map.Entry<Integer, List<Integer>> entry : clusterMap.entrySet()) {
List<Integer> elements = entry.getValue();
int size = elements.size();
if (size >= LEAST_NUMBER) { // TODO how to set this threshold?
commonClusterNum.add(entry.getKey());
int key = entry.getKey();
commonClusterNum.add(key);
totalNumberofTrainingData += size;
numbersMapStr += key + ":" + size + "\n";
}
}
FileHelper.outputToFile(Configuration.COMMON_CLUSTERS_SIZES, numbersMapStr, false);
return commonClusterNum;
}
@@ -50,18 +57,25 @@ public class CommonPatterns {
List<Integer> elements = entry.getValue();
ratios.put(entry.getKey(), (double) elements.size() / sizes);
}
String numbersMapStr = "";// numbers of instances in each common cluster.
MapSorter<Integer, Double> sorter = new MapSorter<Integer, Double>();
ratios = sorter.sortByValueDescending(ratios);
double counterRatio = 0.0;
for (Map.Entry<Integer, Double> entry : ratios.entrySet()) {
counterRatio += entry.getValue();
commonClusterNum.add(entry.getKey());
int key = entry.getKey();
commonClusterNum.add(key);
numbersMapStr += key + ":" + clusterMap.get(key).size() + "\n";
totalNumberofTrainingData += clusterMap.get(entry.getKey()).size();
if (counterRatio >= 0.8) { // TODO: how to set the value of this threshold?
break;
}
}
FileHelper.outputToFile(Configuration.COMMON_CLUSTERS_SIZES, numbersMapStr, false);
return commonClusterNum;
}