strips out kmeans non spatial

src/pg/sql/11_kmeans.sql

@@ -9,24 +9,6 @@ RETURNS table (cartodb_id integer, cluster_no integer) as $$
 
 $$ LANGUAGE plpythonu;
 
--- Non-spatial k-means clustering
--- query: sql query to retrieve all the needed data
-
-CREATE OR REPLACE FUNCTION CDB_KMeansNonspatial(
-  query TEXT,
-  colnames TEXT[],
-  num_clusters INTEGER,
-  id_colname TEXT DEFAULT 'cartodb_id',
-  standarize BOOLEAN DEFAULT true
-)
-RETURNS TABLE(cluster_label text, cluster_center json, silhouettes numeric, rowid bigint) AS $$
-
-    from crankshaft.clustering import Kmeans
-    kmeans = Kmeans()
-    return kmeans.nonspatial(query, colnames, num_clusters,
-                             id_colname, standarize)
-$$ LANGUAGE plpythonu;
-
 
 CREATE OR REPLACE FUNCTION CDB_WeightedMeanS(state Numeric[],the_geom GEOMETRY(Point, 4326), weight NUMERIC)
 RETURNS Numeric[] AS