| #------------------------------------------------------------- |
| # |
| # 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 |
| |
| } |
| |