diff --git a/pom.xml b/pom.xml
index 254a0bf..f96eb31 100644
--- a/pom.xml
+++ b/pom.xml
@@ -54,47 +54,4 @@
 			</plugin>
 		</plugins>
 	</build>
-
-  <dependencies>
-    <dependency>
-			<groupId>com.googlecode.json-simple</groupId>
-			<artifactId>json-simple</artifactId>
-			<version>1.1.1</version>
-		</dependency>
-		<dependency>
-			<groupId>org.jsoup</groupId>
-			<artifactId>jsoup</artifactId>
-			<version>1.9.1</version>
-		</dependency>
-		<dependency>
-			<groupId>edu.stanford.nlp</groupId>
-			<artifactId>stanford-corenlp</artifactId>
-			<version>3.3.0</version>
-		</dependency>
-		<dependency>
-			<groupId>edu.washington.cs.knowitall.openie</groupId>
-			<artifactId>openie_2.10</artifactId>
-			<version>4.2.1</version>
-		</dependency>
-		<dependency>
-			<groupId>edu.stanford.nlp</groupId>
-			<artifactId>stanford-corenlp-models</artifactId>
-			<version>3.3.0</version>
-		</dependency>
-		<dependency>
-			<groupId>niket.tool</groupId>
-			<artifactId>javatools</artifactId>
-			<version>1.0.0</version>
-		</dependency>
-		<dependency>
-			<groupId>niket.tool</groupId>
-			<artifactId>postgresql</artifactId>
-			<version>1.0.0</version>
-		</dependency>
-		<dependency>
-			<groupId>colt</groupId>
-			<artifactId>colt</artifactId>
-			<version>1.2.0</version>
-		</dependency>
-  </dependencies>
 </project>
diff --git a/src/test/java/kb/howtokb/clustering/HeuristicBottomUpClusteringTest.java b/src/test/java/kb/howtokb/clustering/HeuristicBottomUpClusteringTest.java
index 2a27fab..3672209 100644
--- a/src/test/java/kb/howtokb/clustering/HeuristicBottomUpClusteringTest.java
+++ b/src/test/java/kb/howtokb/clustering/HeuristicBottomUpClusteringTest.java
@@ -1,52 +1,46 @@
 package kb.howtokb.clustering;
 
-import java.io.BufferedWriter;
-import java.io.FileOutputStream;
-import java.io.OutputStreamWriter;
-import java.io.Writer;
 import java.util.List;
 
 import kb.howtokb.clustering.HeuristicBottomupClustering.ActivitySuperCluster;
 import kb.howtokb.clustering.sim.Coefficient;
-import kb.howtokb.taskframe.WikiHowTaskFrame;
-import kb.howtokb.tools.InformationExtraction;
 
 public class HeuristicBottomUpClusteringTest {
 	public static void main(String[] args) throws Exception {
 		
 		long startTime = System.currentTimeMillis();
 		
-		
+		 
 		String activityTb = "resources/all-words-category.txt";
 		HeuristicBottomupClustering cluster = new HeuristicBottomupClustering(activityTb);
 		
 		double threshold = Coefficient.VVNN_TRHES;
-		String model = "/var/tmp/cxchu/w2v-model/articles-word2vec-word-pos.model.txt";
+		String model = "articles-word2vec-word-pos.model.txt";
 		String allAct = "resources/all-strong-activities.txt";
 		SimplePruningSimilarity simFunc = new SimplePruningSimilarity(threshold, model, allAct);
 		List<ActivitySuperCluster> results = cluster.cluster(simFunc, Coefficient.VVNN_TRHES);
 		System.out.println("Number of clusters: " + results.size());
-		String output = "/var/tmp/cxchu/clustering-result/bottom-up-cluster-";
+//		String output = "/var/tmp/cxchu/clustering-result/bottom-up-cluster-";
 		
-		String input = ""; //original data point file
-		List<WikiHowTaskFrame> allframe = InformationExtraction.getAllFrame(input);
+//		String input = "/var/tmp/cxchu/act-frame-test.json"; //original data point file
+//		List<WikiHowTaskFrame> allframe = InformationExtraction.getAllFrame(input);
 		int total = 0;
 		for (int i = 0; i < results.size(); i++) {
 			System.out.println("Cluster " + i + ": " + results.get(i).getSuperClusterMembers().size());
-			Writer out = new BufferedWriter(new OutputStreamWriter(
-					new FileOutputStream(output+i+".json"), "utf-8"));
-			 List<Integer> actitiviesID =
-					 results.get(i).getSuperClusterMembers();
-			 for (int j=0; j<allframe.size(); j++){
-				 if (actitiviesID.contains(allframe.get(j).getID())){
-					 out.write(allframe.get(j).toJsonObject().toJSONString() + "\n");
-					 allframe.remove(j);
-					 j--;
-					 total++;
-				 }
-			 }
-			 
-			 out.close();
+//			Writer out = new BufferedWriter(new OutputStreamWriter(
+//					new FileOutputStream(output+i+".json"), "utf-8"));
+//			 List<Integer> actitiviesID =
+//					 results.get(i).getSuperClusterMembers();
+//			 for (int j=0; j<allframe.size(); j++){
+//				 if (actitiviesID.contains(allframe.get(j).getID())){
+//					 out.write(allframe.get(j).toJsonObject().toJSONString() + "\n");
+//					 allframe.remove(j);
+//					 j--;
+//					 total++;
+//				 }
+//			 }
+//			 
+//			 out.close();
 		}
 		
 		long endTime   = System.currentTimeMillis();