diff --git a/src/py/crankshaft/crankshaft/clustering/kmeans.py b/src/py/crankshaft/crankshaft/clustering/kmeans.py
index d070bf9..383584e 100644
--- a/src/py/crankshaft/crankshaft/clustering/kmeans.py
+++ b/src/py/crankshaft/crankshaft/clustering/kmeans.py
@@ -65,7 +65,7 @@ def kmeans_nonspatial(query, colnames, num_clusters=5,
         cluster_columns = _scale_data(
           _extract_columns(db_resp, out_id_colname))
     else:
-        cluster_columns = _extract_columns(db_resp, id_col=out_id_colname)
+        cluster_columns = _extract_columns(db_resp, out_id_colname)
 
     # TODO: decide on optimal parameters for most cases
     #       Are there ways of deciding parameters based on inputs?