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#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
#-----------------------------------------------------------------------------
# Builtin function that does predictions based on a set of centroids provided.
#
# INPUT PARAMETERS:
# ----------------------------------------------------------------------------
# NAME TYPE DEFAULT MEANING
# ----------------------------------------------------------------------------
# X Double --- The input Matrix to do KMeans on.
# C Double --- The input Centroids to map X onto.
#
# RETURN VALUES
# ----------------------------------------------------------------------------
# NAME TYPE DEFAULT MEANING
# ----------------------------------------------------------------------------
# Y String "Y.mtx" The mapping of records to centroids
# ----------------------------------------------------------------------------
m_kmeansPredict = function(Matrix[Double] X, Matrix[Double] C)
return (Matrix[Double] Y)
{
D = -2 * (X %*% t(C)) + t(rowSums (C ^ 2));
P = (D <= rowMins (D));
aggr_P = t(cumsum (t(P)));
Y = rowSums (aggr_P == 0) + 1
}