private static String ClassifySample(Neighbour[] K_neighbours)
			{
				int array_length = K_neighbours.length;
				
				Knn_Classification [] activity_counter = new Knn_Classification [num_activities];
				String activitylabel = null; 
				
				
				for(int j=0; j<num_activities; j++) //not sure if this good
						
				{
					activity_counter[j]= new Knn_Classification();
					
				}
					
				/* list of all activities to classify by*/
				activity_counter[0].setActivity("Happy");
				activity_counter[1].setActivity("Sad");
				
				
				/*search through array , for each activity, and count */
				for(int j=0; j<activity_counter.length; j++){
					for(int i=0; i<array_length; i++)
					{
						
						if( K_neighbours[i].getActivity().startsWith(activity_counter[j].getActivity()) ){
							activity_counter[j].increment_count();
						}
						
					}
				
				}
				
			
				/* find max count */
				int max = activity_counter[0].return_count();
				if(activity_counter.length ==1)
					return activity_counter[0].getActivity();
				else{
					for(int j=0; j<activity_counter.length; j++){
						if(activity_counter[j].return_count() >= max){
							max=activity_counter[j].return_count();
							activitylabel = activity_counter[j].getActivity();
						
						}
					
					}
				}
				return activitylabel;
												
				
			}