diff --git a/config/cfg.properties b/config/cfg.properties
index 1af9b6f..b5eb8bc 100644
--- a/config/cfg.properties
+++ b/config/cfg.properties
@@ -6,4 +6,5 @@ org.aksw.word2vecrestful.Application.inmemory: true
 org.aksw.word2vecrestful.Application.subsetfiledir: data/subset-files-1/
 org.aksw.word2vecrestful.word2vec.normalizedbinmodel.bin: true
 org.aksw.word2vecrestful.word2vec.normalizedbinmodel.model: data/normalbinmodel/GoogleNews-vectors-negative300-normalized.bin
-org.aksw.word2vecrestful.word2vec.stats.sdfile: data/normal/stat/normal-model-sd.csv
\ No newline at end of file
+org.aksw.word2vecrestful.word2vec.stats.sdfile: data/normal/stat/normal-model-sd.csv
+org.aksw.word2vecrestful.word2vec.W2VNrmlMemModelKMeans.filepath: data/kmeans/comparison-vecs.csv
\ No newline at end of file
diff --git a/src/main/java/org/aksw/word2vecrestful/word2vec/W2VNrmlMemModelBinSrch.java b/src/main/java/org/aksw/word2vecrestful/word2vec/W2VNrmlMemModelBinSrch.java
index 4634997..f50c8a8 100644
--- a/src/main/java/org/aksw/word2vecrestful/word2vec/W2VNrmlMemModelBinSrch.java
+++ b/src/main/java/org/aksw/word2vecrestful/word2vec/W2VNrmlMemModelBinSrch.java
@@ -38,6 +38,9 @@ public class W2VNrmlMemModelBinSrch implements GenWord2VecModel {
 	protected int bucketCount = 10;
 	protected BitSet[][] csBucketContainer;
 
+	protected W2VNrmlMemModelBinSrch() {
+	}
+
 	public W2VNrmlMemModelBinSrch(final Map<String, float[]> word2vec, final int vectorSize) throws IOException {
 		this.word2vec = word2vec;
 		this.vectorSize = vectorSize;
diff --git a/src/main/java/org/aksw/word2vecrestful/word2vec/W2VNrmlMemModelKMeans.java b/src/main/java/org/aksw/word2vecrestful/word2vec/W2VNrmlMemModelKMeans.java
index d3dc9f8..d8ec809 100644
--- a/src/main/java/org/aksw/word2vecrestful/word2vec/W2VNrmlMemModelKMeans.java
+++ b/src/main/java/org/aksw/word2vecrestful/word2vec/W2VNrmlMemModelKMeans.java
@@ -9,6 +9,7 @@
 import java.util.List;
 import java.util.Map;
 
+import org.aksw.word2vecrestful.utils.Cfg;
 import org.aksw.word2vecrestful.utils.ClusterableVec;
 import org.aksw.word2vecrestful.utils.Word2VecMath;
 import org.apache.commons.math3.ml.clustering.CentroidCluster;
@@ -38,8 +39,8 @@
 public class W2VNrmlMemModelKMeans extends W2VNrmlMemModelBinSrch {
 	public static Logger LOG = LogManager.getLogger(GenWord2VecModel.class);
 
-	protected int kMeansMaxItr = 5;
-	protected String vecFilePath = "data/kmeans/comparison-vecs.csv";
+	private static final int KMEANS_MAX_ITR = 5;
+	private static final String VEC_FILEPATH = Cfg.get(W2VNrmlMemModelKMeans.class.getName().concat(".filepath"));
 
 	public W2VNrmlMemModelKMeans(final Map<String, float[]> word2vec, final int vectorSize) throws IOException {
 		super(word2vec, vectorSize);
@@ -54,7 +55,7 @@ protected void process() throws IOException {
 	}
 
 	private void fetchComparisonVectors() throws IOException {
-		File vecFile = new File(vecFilePath);
+		File vecFile = new File(VEC_FILEPATH);
 		if (vecFile.exists()) {
 			LOG.info("Reading Comparsion vectors from the file.");
 			// read the persisted vectors
@@ -72,7 +73,7 @@ private void fetchComparisonVectors() throws IOException {
 
 	private void generateComparisonVectors() {
 		KMeansPlusPlusClusterer<ClusterableVec> clusterer = new KMeansPlusPlusClusterer<>(compareVecCount,
-				kMeansMaxItr);
+				KMEANS_MAX_ITR);
 		List<ClusterableVec> vecList = new ArrayList<>();
 		for (float[] vec : word2vec.values()) {
 			vecList.add(getClusterablePoint(vec));