diff --git a/Sorting/pom.xml b/Sorting/pom.xml
index 062dd50..db1e6ca 100644
--- a/Sorting/pom.xml
+++ b/Sorting/pom.xml
@@ -23,5 +23,10 @@
 			<version>4.8.1</version>
 			<scope>test</scope>
 		</dependency>
+		<dependency>
+		<groupId>com.google.guava</groupId>
+		<artifactId>guava-collections</artifactId>
+		<version>r03</version>
+	</dependency>
 	</dependencies>
 </project>
\ No newline at end of file
diff --git a/Sorting/src/main/KClosestElements.java b/Sorting/src/main/KClosestElements.java
new file mode 100644
index 0000000..c7d3938
--- /dev/null
+++ b/Sorting/src/main/KClosestElements.java
@@ -0,0 +1,102 @@
+package main;
+
+import java.util.List;
+
+import com.google.common.collect.Lists;
+
+/**
+ * <pre>
+ * Given a sorted array arr[] and a value x, find the k closest elements to x in arr[]. 
+ * Examples:
+ * Input: k = 4, x = 35 
+ * arr[] = {12, 16, 22, 30, 35, 39, 42, 45, 48, 50, 53, 55, 56} 
+ * Output: 30 39 42 45
+ * 
+ * NOTE : the solution does not work for duplicates.
+ * </pre>
+ * 
+ * @author onkar.deshpande@gmail.com (Onkar Deshpande)
+ * 
+ */
+public class KClosestElements {
+  private final int[] arr;
+  private final int size;
+  private final int x;
+  private final int k;
+
+  public KClosestElements(int[] arr, int size, int x, int k) {
+    this.arr = arr;
+    this.size = size;
+    this.x = x;
+    this.k = k;
+  }
+
+  public List<Integer> findKClosest() {
+    int left = findCrossOver(0, size - 1);
+    int right = left + 1;
+    int count = 0;
+    List<Integer> result = Lists.newArrayList();
+    
+    if (arr[left] == x) {
+      // x is at crossOverPoint index, decrement left because we aren't interested in x.
+      --left;
+    }
+    
+    while (left >= 0 && right < size && count < k) {
+      if (x - arr[left] < arr[right] - x) {
+        result.add(arr[left]);
+        left--;
+      } else {
+        result.add(arr[right]);
+        right++;
+      }
+      count++;
+    }
+
+    // If there are no more elements on the right side and we haven't found k elements yet, copy
+    // remaining elements from the left side.
+    while (count < k && left >= 0) {
+      result.add(arr[left]);
+      count++;
+      left--;
+    }
+
+    // If there are no more elements on the left side, and we haven't found k elements yet, copy
+    // remaining elements from the right side.
+    while (count < k && right < size) {
+      result.add(arr[right]);
+      count++;
+      right++;
+    }
+
+    return result;
+  }
+
+  /**
+   * Cross over point is a point before which elements are smaller than or equal to x and after
+   * which are greater than x. Use binary search technique to do this in O(logn) time.
+   */
+  private int findCrossOver(int low, int high) {
+    if (arr[high] < x) {
+      // Base case
+      return high;
+    }
+    if (arr[low] > x) {
+      // Base case
+      return low;
+    }
+    int mid = (low + high) / 2;
+    if (arr[mid] == x) {
+      // If x is same as the middle element, the mid is the cross over point.
+      return mid;
+    }
+    if (x < arr[mid]) {
+      // If x is smaller than the middle element, then crossover element will be in the first half
+      return findCrossOver(low, mid - 1);
+    }
+    // Else cross over point is in the second half
+    return findCrossOver(mid + 1, high);
+  }
+
+
+}
diff --git a/Sorting/src/test/KClosestElementsTest.java b/Sorting/src/test/KClosestElementsTest.java
new file mode 100644
index 0000000..dbf17ed
--- /dev/null
+++ b/Sorting/src/test/KClosestElementsTest.java
@@ -0,0 +1,25 @@
+package test;
+
+import java.util.List;
+
+import junit.framework.Assert;
+import main.KClosestElements;
+
+import org.junit.Test;
+
+public class KClosestElementsTest {
+  private final int[] arr = {12, 16, 22, 30, 35, 39, 42, 45, 48, 50, 53, 55, 56};
+  private final int k = 4;
+  private final int x = 35;
+
+  @Test
+  public void testKClosestElements() {
+    KClosestElements kce = new KClosestElements(arr, arr.length, x, k);
+    List<Integer> results = kce.findKClosest();
+    Assert.assertEquals(k, results.size());
+    Assert.assertTrue(results.contains(30));
+    Assert.assertTrue(results.contains(39));
+    Assert.assertTrue(results.contains(42));
+    Assert.assertTrue(results.contains(45));
+  }
+}